ieee projects 2013 for cse with abstract and base paper

FINAL YEAR PROJECTS IN PONDICHERRY FOR BE/ BTECH/ ME/M.TECH/M.PHIL/MCA/ B.SC /M.Sc/MBA STUDENTS

Dear Final year Students of B.E., B.TECH., M.E., M.TECH., M.PHIL., MCA, B.SC., M.SC., MBA.

JP INFOTECH is the No.1 IEEE project master in Puducherry and best project Centre in Puducherry. We assist you in your final year projects and make you complete it successful. We provide live projects, ieee projects, non-ieee projects, application projects, research projects using latest technologies like Android, java, j2ee, dot net, matlab, ns2, embedded, robotics etc. We provide you complete assistance with explanation, documentation, ppt, source code etc.

FOR MORE DETAILS CONTACT:

JP INFOTECH,

#45, Kamaraj Salai, Thattanchavady, JIPMER Road, Puducherry-9

Mobile : (0)9952649690

Email: jpinfotechprojects@gmail.com,

Web: www.jpinfotech.org

industrial visit in Pondicherry

Dear Placement Officer / HOD,

Subject: Regarding INDUSTRIAL VISIT program conducted by JP INFOTECH, Puducherry.

ABOUT JP INFOTECH:

JP INFOTECH is a leading upcoming Information Technology (IT) Service provider in Puducherry/Pondicherry and Chennai, who delivers the complete solution for the entire software necessities with the assured quality. We proved our competence in IT consulting, Technology services, R&D and Technology service, IEEE project development, Corporate training, Academic Project enhancement, Business Process Outsourcing, Web Designing, Content writing, Research Article submission, Blog posting, Blogger services, Management solution and many more.

 

Our team associates designated after the several scrutinized and hence the exhibits of them imitate the blend of invaluable experience and the qualification. They have the intellectual to deliver the exact way out for any kind of defy. We endow the updated methodologies in every phase of our process and we well known the value of the fiscal and time of the clients. Hence our outcome ensures the suppleness for any kind of global amendments and enhancement in IT sector. Our professionals have the expertise in several fields and they lend their hands for client’s business development and obligations. We confer the service prior to the dead line and we compromise on the money not in quality.

TECHNOLOGY

  • Java, J2EE
  • Hadoop, Big Data, Unix/Linux.
  • Mobile Platforms: Android, iOS, RIM, Windows Phone 7, Blackberry OS, PhoneGap.
  • LAMP, WAMP, PHP, MYSQL, HTML, CSS, Ruby on Rails.
  • ASP.NET, C#.NET, VB.NET, SQL SERVER
  • WordPress, Joomla, Drupal, Magento, Open Cart, Prestashop.
  • NS2, OMNET++, Matlab, Simulink.
  • Embedded, Robotics.

 ABOUT INDUSTRIAL VISIT TRAINING:

As part of the Training division of JP INFOTECH, we are providing Industrial Visit program for Students. We will help the Students to understand the Software Development & Product Development strategy. We will help the Students to define the scenarios on Software Components Creation & Implementation. We will give knowledge Transfer on Latest Trends, Techniques, Implementation areas & Technologies.

Total coverage for training process is about 1 to 2 hours & They are allowed to visit our office @ Pondicherry or Chennai. Students of 1st / 2nd / 3rd & Final Year students of ALL U.G & P.G are gladly welcome. Eligibility: IT (CS, IT & MCA, M.sc.) & Non-IT (ECE, EEE, E&I ) Core ( Mech, Civil, Marian, Aeronautical, Chemical)Students
B.E/ B.TECH/ MCA/ M.E/ M.TECH/ MSC/ BSC/ MS IT / Diploma > ALL U.G & P.G Students are allowed for the Visit.

TRAINING PROCESS:

1) STUDENT DETAILS VERIFICATION

2) BATCH ALLOCATION

3) INTRODUCTION TO ORGANISATION PROFILE

4) TECHNOLOGY DETAILS

5) QUESTIONNAIRE TIME

6) ISSUING CERTIFICATES.

 

FEES:

A Student should pay Rs.100/- towards individual certificate to them. The list of students those willing to get the certificate should be mailed or intimated before the commencement of the visit.

FOR ANY CLARIFICATIONS CONTACT:

Dr.R. JAYAPRAKASH, BE,MBA,M.Tech.,Ph.D.

MANAGING DIRECTOR, JP INFOTECH,

Pondicherry Office Address: JP INFOTECH, #37, Kamaraj Salai, Thattanchavady, Puducherry-9

Landmark: Near Muruga Theatre and Next to Pink Ladies Hostel

LANDLINE: (0413) – 4204066

Chennai Office Address: JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83.

Landmark: Next to Kotak Mahendra Bank.

LANDLINE: (044) – 43012642

CONTACT NO: (0)9952649690

EMAIL:jpinfotechprojects@gmail.com

WEB: www.jpnfotech.org

FACEBOOK: https://www.facebook.com/jpinfotechresearch

JP INFOTECH PONDICHERRY/PUDUCHERRY OFFICE PHOTOS:

[ngg_images source=”galleries” container_ids=”2″ display_type=”photocrati-nextgen_basic_thumbnails” order_by=”sortorder” order_direction=”ASC” returns=”included” override_thumbnail_settings=”0″ thumbnail_width=”240″ thumbnail_height=”160″ thumbnail_crop=”1″ images_per_page=”20″ number_of_columns=”0″ ajax_pagination=”1″ show_all_in_lightbox=”0″ use_imagebrowser_effect=”0″ show_slideshow_link=”1″ maximum_entity_count=”500″]JP INFOTECH CHENNAI OFFICE PHOTOS:

[ngg_images source=”galleries” container_ids=”3″ override_thumbnail_settings=”0″ thumbnail_width=”240″ thumbnail_height=”160″ thumbnail_crop=”1″ images_per_page=”20″ number_of_columns=”0″ ajax_pagination=”0″ show_all_in_lightbox=”0″ use_imagebrowser_effect=”0″ show_slideshow_link=”1″ order_by=”sortorder” order_direction=”ASC” returns=”included” maximum_entity_count=”500″ display_type=”photocrati-nextgen_basic_thumbnails”]

ieee projects in coimbatore

Dear Students,

FINAL YEAR PROJECTS are important in your career. Because Final year projects has lot of scope, they are: Final year project is a marking Scoring subject, Boots your marks and percentage, Speeks in your Interview, and noteable in all your career. So choose your final year projects with the experienced and the leaders. JP INFOTECH is one and only with such Qualities. JP INFOTECH is ISO 9001:2001 certified Company. JP INFOTECH has guided more than 10,000 Students all over India. JP INFOTECH has a 6+ years of experience in molding the careers of the students in their final year projects. JP INFOTECH is one the leading software development firm located at Puducherry. As part of the Training division of JP INFOTECH, we assist you in the final year projects in all domains such as:

  • Cloud computing
  • Networking
  • Wireless Communications
  • Mobile Computing
  • Network Security/Secure & Dependable Computing
  • Data Mining / Knowledge and Data Engg.
  • Image processing
  • Parallel & Distributed Systems
  • Information Security
  • ROBOTICS
  • EMBEDDED SYSTEMS
  • And many more.

We develop software and IEEE academic projects for CSE, IT, ECE, EEE Departments.

Implementation technologies in

  • JAVA/J2EE/J2ME
  • DOTNET
  • ANDROID
  • MATLAB
  • NS2
  • OMNET
  • ROBOTICS
  • EMBEDDED
  • SIMULINK
  • AND MANY MORE

OUR OTHER SALIENT FEATURES:

  • We assist you to publish a paper on your project in INTERNATIONAL JOURNAL PUBLICATIONS / INTERNATIONAL CONFERENCE PUBLICATIONS (like IEEE, ACM, Springer, Elsevier etc)
  • We provide REVIEW DOCUMENTS AND PPTS for each review
  • 100% LIVE EXPLANATION
  • PROJECT ASSIGNMENTS
  • VIVA-VOCE QUESTIONS & ANSWERS
  • VALID TRAINEE CERTIFICATION (ISO Certification)
  • 100% PLACEMENT SUPPORT
  • Own Projects are also welcomed.

For any queries Contact:
R.JAYAPRAKASH BE,MBA,M.Tech.,(Ph.D.),
Managing Director
www.jpinfotech.org

Mobile: (0)9952649690

ieee projects in chidambaram

Dear Students,

JP INFOTECH, the No.1 IEEE project Master, guides and assures do make your final year projects with International Journal Publication in all major Domains.

Dear M.E./M.Tech./M.Phil/ Research Scholars, we give 100% assurance for publishing your paper in International Journal or International Conference. We make your final year project Innovative, Latest and Best among others.

Dear Students, there are the top reasons to choose JP INFOTECH:

1) 100% assurance for the project execution

2) 100% assurance for publishing your paper in International Journal

3) Get suggestions from your seniors. They surely recommend JP INFOTECH, as they had got 100% satisfied experience.

4) Get suggestions from your guide, professors, HOD. They surely recommend JP INFOTECH because we have proven track of record.

5) Get suggestions from people working in MNCs. They Surely refer JP INFOTECH, as many are part of it.

6) Best in Industry

7) Leaders with more than 6+ years of experience

8) Guided more than 10,000 Students all over India.

9) No False Promises

10) 100% Success and many more

Students can select projects from all major domains like: Cloud Computing, Image processing, Data Mining (Knowledge and Data Engineering), Mobile Computing, Networking, Network Security, Software Engineering, Pattern Analysis, Service Computing, Web Services etc. Implementation using latest technologies ANDROID, JAVA/J2EE, DOT NET, MATLAB, NS2, OMNET++, EMBEDDED, ROBOTICS etc.

For More details Visit: www.jpinfotech.org

Blog: www.jpinfotech.blogspot.com

Email: jpinfotechprojects@gmail.com

Mobile: (0)9952649690

JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, JIPMER Road, Puducherry-9

ieee projects 2013 for cse with abstract and base paper

IEEE PROJECTS 2013 FOR CSE WITH ABSTRACT AND BASE PAPER

Dear Students,

 

JP INFOTECH is one the leading software development firm located at Puducherry. As part of the Training division of JP INFOTECH, we assist you in the final year projects in all domains such as:

  • Cloud computing
  • Networking
  • Wireless Communications
  • Mobile Computing
  • Network Security/Secure & Dependable Computing
  • Data Mining / Knowledge and Data Engg.
  • Image processing
  • Parallel & Distributed Systems
  • Information Security
  • ROBOTICS
  • EMBEDDED SYSTEMS
  • And many more.

We develop software and IEEE academic projects for CSE, IT, ECE, EEE Departments.

Implementation technologies in

  • JAVA/J2EE/J2ME
  • DOTNET
  • ANDROID
  • MATLAB
  • NS2
  • OMNET++
  • ROBOTICS
  • EMBEDDED
  • SIMULINK
  • AND MANY MORE

 

OUR OTHER SALIENT FEATURES:

  • We assist you to publish a paper on your project in INTERNATIONAL JOURNAL PUBLICATIONS / INTERNATIONAL CONFERENCE PUBLICATIONS (like IEEE, ACM, Springer, Elsevier etc)
  • We provide REVIEW DOCUMENTS AND PPTS for each review
  • 100% LIVE EXPLANATION
  • PROJECT ASSIGNMENTS
  • VIVA-VOCE QUESTIONS & ANSWERS
  • VALID TRAINEE CERTIFICATION (ISO Certification)
  • 100% PLACEMENT SUPPORT
  • Own Projects are also welcomed.

For any queries Contact:

R.JAYAPRAKASH BE,MBA,M.Tech., (Ph.D.),
Managing Director
www.jpinfotech.blogspot.com
www.jpinfotech.org
Mobile: (0)9952649690

ieee projects in cuddalore

Dear Student,

JP INFOTECH is one the leading software development firm located at Puducherry. As part of the Training division of JP INFOTECH, we assist you in the final year projects in all domains such as:

  • Cloud computing
  • Networking
  • Wireless Communications
  • Mobile Computing
  • Network Security/Secure & Dependable Computing
  • Data Mining / Knowledge and Data Engg.
  • Image processing
  • Parallel & Distributed Systems
  • Information Security
  • ROBOTICS
  • EMBEDDED SYSTEMS
  • And many more.

We develop software and IEEE academic projects for CSE, IT, ECE, EEE Departments.

Implementation technologies in

  • JAVA/J2EE/J2ME
  • DOTNET
  • ANDROID
  • MATLAB
  • NS2
  • OMNET++
  • ROBOTICS
  • EMBEDDED
  • SIMULINK
  • AND MANY MORE

 

OUR OTHER SALIENT FEATURES:

  • We assist you to publish a paper on your project in INTERNATIONAL JOURNAL PUBLICATIONS / INTERNATIONAL CONFERENCE PUBLICATIONS (like IEEE, ACM, Springer, Elsevier etc)
  • We provide REVIEW DOCUMENTS AND PPTS for each review
  • 100% LIVE EXPLANATION
  • PROJECT ASSIGNMENTS
  • VIVA-VOCE QUESTIONS & ANSWERS
  • VALID TRAINEE CERTIFICATION (ISO Certification)
  • 100% PLACEMENT SUPPORT
  • Own Projects are also welcomed.

For any queries Contact:

R.JAYAPRAKASH BE,MBA,M.Tech.
Managing Director
www.jpinfotech.blogspot.com
www.jpinfotech.org
Mobile: (0)9952649690

Bulk IEEE Projects

Bulk IEEE Projects

JP INFOTECH is a bloom in Providing Bulk IEEE Projects to the Software Companies, Training Institutes, IEEE Project Centres/Center, Tutors, Trainers involved in Providing Final year Project Solutions to the Students. JP INFOTECH also offers Final Year Project Solutions to Application Projects/Mini Projects/ Non-IEEE projects/ Web Projects and other latest Journal Paper Solutions. Our Expert Research Team also offers Paper Publication Services to our Clients by providing International Journal Publication, International Conference Publication, Journal Paper Writing Services, Thesis Writing, Scopus Journal Publication, SCI Journal Publication and all other Related to Research Work too. Our Team is rooted at Pondicherry / Puducherry and in Chennai locations. The team is ready to provide online / Offline supports according to the client requirements.

Experience in Bulk IEEE projects

JP INFOTECH is a Pioneer in the field of Bulk IEEE Projects for CSE, IT, ECE, EEE Departments. We have 8+ Years of experience in the service of Bulk IEEE projects and providing the Support to our beloved Clients. We had also created a milestone in providing the projects for the final year students of departments CSE, IT, ECE, EEE by providing such support to our Clients. We proudly announce that we are currently supporting more than 1000+ Clients all over the globe and most of them from India. The Client satisfaction makes us to encourage and improves our services every year and so we are having more numbers every year than the past.

Bulk IEEE Project Domains:

We offer Bulk IEEE Projects in All Major domains of CSE, IT, ECE, EEE Departments. A very few are here that we mention in the following. Cloud computing, Big Data (Hadoop), Networking, Wireless Communications, Mobile Computing, MANET, WSN, Network Security, Secure & Dependable Computing, Data Mining, Web Mining, Knowledge and Data Engineering, Image processing, Parallel & Distributed Systems, Information Security, ROBOTICS, EMBEDDED SYSTEMS, Power Electronics, Power Systems, VLSI And many more.

Technologies we Expertise: 

Java, J2EE (Netbeans and Eclipse), Android (Eclipse and Android Studio), Dot net (Asp.net, C#.net, VB.net), Hadoop (big data), Matlab (Image Processing), NS2, Network Simulator, OMNET++, Matlab (Communication Systems), VLSI (VHDL, Tanner), Embedded Systems, Matlab Simulink, Weka, R-Programming, Php and many more.

Bulk IEEE projects 2017 @ JP INFOTECH

Project Demos/ Output Videos:

We initially provide the Project Demo/ Output Video file for the list of the projects which we have. You can check the Output before the purchase of the projects. So you can know our quality and assurance of the execution. All our Project Videos are executed by our Expert development team in our office premises and so we provide 100% assurance on the execution for the same. So no need to worry about the project outputs. Based on the Output videos, you can provide the explanation part to the students.

We DONOT support Reselling of our projects to others Institutes / Project Consultants / Brokers / Resellers / Vendors. Projects should be given only to your students.

We affirm the Bulk IEEE Projects quality and you can also see the quality of the work from our past Project Output Videos on all major Domains. So we assure you the same in the present and future providing better satisfaction service by ensuring the quality deliver with timely deliver too. We are awaiting for Long Term relationship by having mutual benefits.

For any queries / clarifications, you can contact us.

Dr.R.JAYAPRAKASH BE, MBA, M.Tech., Ph.D.,

Managing Director, JP INFOTECH.

CONTACT NUMBER: (0)9952649690

EMAIL: jpinfotechprojects@gmail.com

Contact us

Toward a Statistical Framework for Source Anonymity in Sensor Networks

Toward a Statistical Framework for Source Anonymity in Sensor Networks

ABSTRACT:

In certain applications, the locations of events reported by a sensor network need to remain anonymous. That is, unauthorized observers must be unable to detect the origin of such events by analyzing the network traffic. Known as the source anonymity problem, this problem has emerged as an important topic in the security of wireless sensor networks, with variety of techniques based on different adversarial assumptions being proposed. In this work, we present a new framework for modeling, analyzing, and evaluating anonymity in sensor networks. The novelty of the proposed framework is twofold: first, it introduces the notion of “interval indistinguishability” and provides a quantitative measure to model anonymity in wireless sensor networks; second, it maps source anonymity to the statistical problem of binary hypothesis testing with nuisance parameters. We then analyze existing solutions for designing anonymous sensor networks using the proposed model. We show how mapping source anonymity to binary hypothesis testing with nuisance parameters leads to converting the problem of exposing private source information into searching for an appropriate data transformation that removes or minimize the effect of the nuisance information. By doing so, we transform the problem from analyzing real-valued sample points to binary codes, which opens the door for coding theory to be incorporated into the study of anonymous sensor networks. Finally, we discuss how existing solutions can be modified to improve their anonymity.

PROJECT OUTPUT VIDEO: (Click the below link to see the project output video):

ARCHITECTURE:

EXISTING SYSTEM:

While transmitting the “description” of a sensed event in a private manner can be achieved via encryption primitives, hiding the timing and spatial information of reported events cannot be achieved via cryptographic means.

Encrypting a message before transmission, for instance, can hide the context of the message from unauthorized observers, but the mere existence of the ciphertext is indicative of information transmission.

In the existing literature, the source anonymity problem has been addressed under two different types of adversaries, namely, local and global adversaries. A local adversary is defined to be an adversary having limited mobility and partial view of the network traffic. Routing based techniques have been shown to be effective in hiding the locations of reported events against local adversaries.

A global adversary is defined to be an adversary with ability to monitor the traffic of the entire network (e.g., coordinating adversaries spatially distributed over the network). Against global adversaries, routing based techniques are known to be ineffective in concealing location information in event-triggered transmission. This is due to the fact that, since a global adversary has full spatial view of the network, it can immediately detect the origin and time of the event-triggered transmission

DISADVANTAGES OF EXISTING SYSTEM:

The source anonymity problem in wireless sensor networks is the problem of studying techniques that provide time and location privacy for events reported by sensor nodes. (Time and location privacy will be used interchangeably with source anonymity throughout the paper.)

The source anonymity problem has been drawing increasing research attention recently.

PROPOSED SYSTEM:

In this paper, we investigate the problem of statistical source anonymity in wireless sensor networks. The main contributions of this paper can be summarized by the following points.

We introduce the notion of “interval in-distinguishability” and illustrate how the problem of statistical source anonymity can be mapped to the problem of interval indistinguishability.

We propose a quantitative measure to evaluate statistical source anonymity in sensor networks.

We map the problem of breaching source anonymity to the statistical problem of binary hypothesis testing with nuisance parameters.

We demonstrate the significance of mapping the problem in hand to a well-studied problem in uncovering hidden vulnerabilities. In particular, realizing that the SSA problem can be mapped to the hypothesis testing with nuisance parameters implies that breaching source anonymity can be converted to finding an appropriate data transformation that removes the nuisance information.

We analyze existing solutions under the proposed model. By finding a transformation of observed data,we convert the problem from analyzing real-valued samples to binary codes and identify a possible anonymity breach in the current solutions for the SSA problem.

We pose and answer the important research question of why previous studies were unable to detect the possible anonymity breach identified in this paper.

We discuss, by looking at the problem as a coding problem, a new direction to enhance the anonymity of existing SSA solutions.

ADVANTAGES OF PROPOSED SYSTEM:

Removes or minimize the effect of the nuisance information

SYSTEM CONFIGURATION:-

HARDWARE REQUIREMENTS:-

ü Processor                  –        Pentium –IV

ü Speed                        –        1.1 Ghz

ü RAM                         –        512 MB(min)

ü Hard Disk                 –        40 GB

ü Key Board                –        Standard Windows Keyboard

ü Mouse                       –        Two or Three Button Mouse

ü Monitor                     –        LCD/LED

 

SOFTWARE REQUIREMENTS:-

v   Operating System          : LINUX

v   Tool                               : Network Simulator-2

v   Front End                      : OTCL (Object Oriented Tool Command  Language)

 

REFERENCE:

Basel Alomair, Member, IEEE, Andrew Clark, Student Member, IEEE, Jorge Cuellar, and Radha Poovendran, Senior Member, IEEE, “Toward a Statistical Framework for Source Anonymity in Sensor Networks”, IEEE TRANSACTIONS ON MOBILE COMPUTING, VOL. 12, NO. 2, FEBRUARY 2013.

[youtube]https://www.youtube.com/watch?v=GgRcvt7N-9k[/youtube]

Target Tracking and Mobile Sensor Navigation in Wireless Sensor Networks

Target Tracking and Mobile Sensor Navigation in Wireless Sensor Networks

ABSTRACT:

This work studies the problem of tracking signal-emitting mobile targets using navigated mobile sensors based on signal reception. Since the mobile target’s maneuver is unknown, the mobile sensor controller utilizes the measurement collected by a wireless sensor network in terms of the mobile target signal’s time of arrival (TOA). The mobile sensor controller acquires the TOA measurement information from both the mobile target and the mobile sensor for estimating their locations before directing the mobile sensor’s movement to follow the target. We propose a min-max approximation approach to estimate the location for tracking which can be efficiently solved via semi definite programming (SDP) relaxation, and apply a cubic function for mobile sensor navigation. We estimate the location of the mobile sensor and target jointly to improve the tracking accuracy. To further improve the system performance, we propose a weighted tracking algorithm by using the measurement information more efficiently. Our results demonstrate that the proposed algorithm provides good tracking performance and can quickly direct the mobile sensor to follow the mobile target.

PROJECT OUTPUT VIDEO: (Click the below link to see the project output video):

EXISTING SYSTEM:

There exist a number target localization approaches-based various measurement models such as received signal strength (RSS), time of arrival (TOA), time difference of arrival (TDOA), signal angle of arrival (AOA), and their combinations. For target tracking, Kalman filter was proposed, where a geometric-assisted predictive location tracking algorithm can be effective even without sufficient signal sources. Li et al.investigated the use of extended Kalman filter in TOA measurement model for target tracking. Particle filtering has also been applied with RSS measurement model under correlated noise to achieve high accuracy. In addition to the use of stationary sensors, several other works focused on mobility management and control of sensors for better target tracking and location estimation. Zou and Chakrabarty studied a distributed mobility management scheme for target tracking, where sensor node movement decisions were made by considering the tradeoff among target tracking quality improvement, energy consumption, loss of connectivity, and coverage. Rao and Kesidis further considered the cost of node communications and movement as part of the performance tradeoff

DISADVANTAGES OF EXISTING SYSTEM:

The mobile target’s maneuver is unknown

PROPOSED SYSTEM:

In this work, we consider the joint problem of mobile sensor navigation and mobile target tracking based on a TOA measurement model. Our chief contributions include a more general TOA measurement model that accounts for the measurement noise due to multipath propagation and sensing error. Based on the model, we propose a min-max approximation approach to estimate the location for tracking that can be efficiently and effectively solved by means of semidefinite programming (SDP) relaxation. We apply the cubic function for navigating the movements of mobile sensors. In addition, we also investigate the simultaneous localization of the mobile sensor and the target to improve the tracking accuracy. We present a weighted tracking algorithm in order to exploit the measurement information more efficiently. The numerical result shows that the proposed tracking approach works well

ADVANTAGES OF PROPOSED SYSTEM:

  • Ø TOA measurements are easy to acquire, as each sensor only needs to identify a special signal feature such as a known signal preamble to record its arrival time.
  • Ø Our particular use of TOA is a more practical model because we do not need the sensors to know the transmission start time of the signal a priori. As a result, our TOA model enables us to directly estimate the source location by processing the TOA measurement data.
  • Ø The mobile sensor navigation control depends on the estimated location results, more accurate localization algorithm from TOA measurements leads to better navigation control.

SYSTEM CONFIGURATION:-

HARDWARE REQUIREMENTS:-

ü Processor                  –        Pentium –IV

ü Speed                        –        1.1 Ghz

ü RAM                         –        512 MB(min)

ü Hard Disk                 –        40 GB

ü Key Board                –        Standard Windows Keyboard

ü Mouse                       –        Two or Three Button Mouse

ü Monitor                     –        LCD/LED

 

SOFTWARE REQUIREMENTS:-

v   Operating System          : LINUX

v   Tool                               : Network Simulator-2

v   Front End                      : OTCL (Object Oriented Tool Command  Language)

 

REFERENCE:

Enyang Xu, Zhi Ding,Fellow, IEEE, and Soura Dasgupta, Fellow, IEEE “Target Tracking and Mobile Sensor Navigation in Wireless Sensor Networks” – IEEE TRANSACTIONS ON MOBILE COMPUTING, VOL. 12, NO. 1, JANUARY 2013.

[youtube]http://www.youtube.com/watch?v=5RfrKB86IjE[/youtube]

Proteus: Multiflow Diversity Routing for Wireless Networks with Cooperative Transmissions

Proteus: Multiflow Diversity Routing for Wireless Networks with Cooperative Transmissions

ABSTRACT:

In this paper, we consider the use of cooperative transmissions in multihop wireless networks to achieve Virtual Multiple Input Single Output (VMISO) links. Specifically, we investigate how the physical layer VMISO benefits translate into network level performance improvements. We show that the improvements are nontrivial (15 to 300 percent depending on the node density) but rely on two crucial algorithmic decisions: the number of cooperating transmitters for each link; and the cooperation strategy used by the transmitters. We explore the tradeoffs in making routing decisions using analytical models and derive the key routing considerations. Finally, we present Proteus, an adaptive diversity routing protocol that includes algorithmic solutions to the above two decision problems and leverages VMISO links in multihop wireless network to achieve performance improvements. We evaluate Proteus using NS2-based simulations with an enhanced physical layer model that accurately captures the effect of VMISO transmissions

PROJECT OUTPUT VIDEO: (Click the below link to see the project output video):

EXISTING SYSTEM:

In a VMISO system, multiple transmitters transmit encoded versions of the same signal so that the error performance at the receiver is improved significantly compared to a traditional Single Input Single Output (SISO) system. In this work, we consider a specific instance of VMISO communication, where all transmitters of the array transmit with the same fixed power. In such systems, the cooperation gain directly leads to a smaller SNR requirement to achieve the same error performance. The gain in SNR in turn can be used to either increase the data rate by the use of higher order modulations or to increase communication range, thereby improving communication performance in the wireless channel. Although there are several challenges to realizing the potential of VMISO communications, the scope of this paper is restricted to routing.

DISADVANTAGES OF EXISTING SYSTEM:

    First, of the different virtual array approaches, VMISO requires the lowest coordination effort because it can leverage the broadcast property of the wireless channel to distribute information to the cooperating transmitters with a single transmission. This is unlike VSIMO or VMIMO, where multiple information exchanges are required at the receiver to decode information.

    Second, although VMISO allows improved data rates, the coordination overhead and complexity of channel state information and processing are significant challenges in VMIMO which do not affect VMISO.

PROPOSED SYSTEM:

Although there are several challenges to realizing the potential of VMISO communications, the scope of this paper is restricted to routing. In this context, we first investigate the benefits achievable when using VMISO in a multihop wireless network. While there have been several related works that discuss how cooperative diversity can improve performance at the physical layer, the higher layer benefits of cooperative diversity have been explored only by a few related works. More importantly none of the related works identify the routing considerations in a wireless network with multiple active flows and using cooperative transmissions. Using a combination of theoretical analysis, simulations and specific examples with arbitrary topologies, we study how physical layer benefits of cooperative diversity translate to network level performance metrics. Our studies reveal that the network benefits of using VMISO links are nontrivial. We then identify two important decisions that influence the achievable benefits in a multihop wireless network that uses VMISO: the choice of the number of cooperating transmitters such that the diversity gain and interference tradeoff is appropriately leveraged; and the choice of the cooperation strategy such that the diversity gain is appropriately used for either an increase in the range or the rate of the links or both. Finally, we propose centralized and distributed versions of a diversity routing protocol that includes algorithms for optimally arriving at both of the above decisions.

ADVANTAGES OF PROPOSED SYSTEM:

  • We highlight that the joint adaptation of rate and range becomes especially important for VMISO rather than MIMO/MISO due to the larger diversity gains obtainable with VMISO.
  • We show that a simple approach of optimizing the throughput of links followed by optimizing the range can greatly reduce the aggregate throughput of flows compared to jointly optimizing the link rates and the hop distances.
  • We propose an adaptive clustering algorithm that dynamically adjusts the cluster size for each flow in the network.
  • We also identify several approaches for adapting the rate, range, and cluster size and establish the limitations of each of them.

 

 

SYSTEM CONFIGURATION:-

HARDWARE REQUIREMENTS:-

ü Processor                  –        Pentium –IV

ü Speed                        –        1.1 Ghz

ü RAM                         –        512 MB(min)

ü Hard Disk                 –        40 GB

ü Key Board                –        Standard Windows Keyboard

ü Mouse                       –        Two or Three Button Mouse

ü Monitor                     –        LCD/LED

 

SOFTWARE REQUIREMENTS:-

v   Operating System          : LINUX

v   Tool                               : Network Simulator-2

v   Front End                      : OTCL (Object Oriented Tool Command  Language)

 

REFERENCE:

Sriram Lakshmanan and Raghupathy Sivakumar “Proteus: Multiflow Diversity Routing for Wireless Networks with Cooperative Transmissions”, IEEE TRANSACTIONS ON MOBILE COMPUTING, VOL. 12, NO. 6, JUNE 2013.

 [youtube]http://www.youtube.com/watch?v=6d26mIAT95k[/youtube]