Project Login
Registration No:
Password:
MAIL ALERTS SMS ALERTS
 
     
   
     

DESIGN OF WIRELESS SENSOR NETWORKS FOR MOBILE TARGET DETECTION

Platform : java

IEEE Projects Years : 2012 - 13

DESIGN OF WIRELESS SENSOR NETWORKS

FOR MOBILE TARGET DETECTION

AIM

        The aim of the project is selecting the positions of wireless sensors to detect

Mobile targets traversing a given area.

ABSTRACT

          Wireless sensor networks (WSNs) are generally composed of small-sized battery-operated devices with embedded sensing, processing, and wireless communication capabilities. Due to their cost viability and flexibility, WSNs have emerged as effective solutions in a variety of civilian and military applications involving, among others, event detection, target tracking, and environmental and industrial monitoring. The ultimate goal of any deployed WSN is to provide measures of a given physical process, including the time evolution of physical parameters as well as the detection of specific events.

 

WSNs combine sensing/detecting functionalities to actually collect the measures, computation functionalities to process them, and communication functionalities to distribute the collected data throughout the network, eventually reaching a sink device. Hence, we focus on fully accessible environments where sensors positions can be actually optimized.

 

 

 

IMPLEMENTATION

 

Implementation is the stage of the project when the theoretical design is turned out into a working system. Thus it can be considered to be the most critical stage in achieving a successful new system and in giving the user, confidence that the new system will work and be effective.

          The implementation stage involves careful planning, investigation of the existing system and it’s constraints on implementation, designing of methods to achieve changeover and evaluation of changeover methods.

MODULES

1. Sensor Positions       

2. Optimal details of Sensor Nodes

3. Smart Search

4. The optimized Controller

MODULES DESCRIPTION

1. Sensor Positions       

          Sensor position module describes the details about the wireless nodes in the given area. The local monitor, who is under working the overall controller, will keep eyes on the wireless nodes.

 

 

2. Optimal details of Sensor Nodes

          Whenever the wireless node communicating with other sensor nodes this module will enable to store the information about the source node, destination node, data transferred size, date & time.

3. Smart Search

          Smart search module will enable us to check the communication details in given area by depends on transferred data size, date etc.

4. The optimized Controller

          The optimized controller will get the information from local monitoring device about wireless sensor nodes communications.

 

 

 

 

 

 

 

 

 

 

 

 

 

SYSTEM ANALYSIS

 

Existing System

 

          Whenever the environment is fully accessible by the network planner, sensors positions can be predetermined and optimized. If the environment is hard to reach and/or hostile, or if node-by-node positioning is too expensive, random positioning may be the only alternative. The network topology affects both the sensing capability and the wireless connectivity. In existing method the small-sized battery-operated devices with embedded sensing, processing, and wireless communication capabilities. Due to their cost viability and flexibility the previous method is cost effective in implementation.

 

Proposed System

 

          We focus on fully accessible environments where sensors positions can be actually optimized. We propose an optimization framework for the problem of positioning sensors where the sensing quality depends on the distance from the sensor node. Efficient heuristic algorithms that can be used to solve large-size instances in reasonable computing time. Several extensions to deal with common deployment issues such as wireless connectivity among sensors, heterogeneous devices, and nonuniform sensing

 

         

 

               

TECHNIQUES

 

Heuristic Algorithms

 

To tackle large-size instances of both formulation and, we have developed Tabu Search (TS) algorithms. TS is a metaheuristic that guides a local search procedure to explore the solution space of optimization problems beyond local optima, which has been successfully adapted to a number of other challenging network design problems.

SYSTEM ANALYSIS

Hardware Requirements

 

System                           :        Pentium dual core processor

Operating System           :        windows xp,

 Peripheral devices                  :        key board, mouse

 

Software Requirements

Front end                       :        JDK 1.6 with Netbeans 7.0

Back end                        :        Sql Server 2000



NOW GET PROJECTS ! GET TRAINED ! GET PLACED !

IEEE, NON-IEEE, REAL TIME LIVE ACADEMIC PROJECTS,

PROJECTS WITH COMPLETE COURSES,SOFT SKILLS & PLACEMENTS

ALLOVER INDIA & WORLD WIDE,

HOSTEL FACILITY AVAILABLE FOR GIRLS & BOYS SEPARATELY,

CALL: 08985129129 ,  E-Mail Id: support@ascentit.in

REGISTER FOR PROJECTS NOW ! GET DISCOUNT
   
1