MULTIPLE SINK POSITIONING AND RELOCATION FOR IMPROVING LIFE TIME IN WIRELESS SENSOR NETWORK

Abstract

In Wireless Sensor Networks (WSN), energy efficiency is an important issue, newlinesince the sensor nodes act as both data originator and data router. The sink newlinefunctionality typically include gathering sensing data from sensors in the network via newlinemultihop relays performing data processing. The nodes which are closer to the sink newlinehave to take heavier traffic load and thus deplete their energy quickly leading to newlineenergy hole around the sink. If the problem is not properly handled, then the energy newlinehole may cause failure in the sensor network and cause large coverage hole. newlineBy sink repositioning the energy hole problem can be avoided. Sink newlinerepositioning can be performed using multiple sink deployment and sink mobility. newlineRelocating or repositioning the sink is very challenging during the regular network newlineoperation. It is very difficult in a multi-hop network environment to find an optimal newlinelocation. The fundamental issues are (i) where the sink should move (ii) how the data newlinetraffic will be handled. newlineTracking in sensor networks mainly focus on identification of an object by its newlineparticular sensor signature and detection of a path over a period of time. It is newlinenecessary to deploy the sensor networks within a period of time during tracking in newlineremote or unreachable locations, in spite of its low cost and simplicity of deployment newlinethere is a need for accurate tracking system and a lower missing target probability. newlineLocalization refers to the ability of determining the position of a sensor node, newlinewith an acceptable accuracy. It is also relevant to the network main functions such as newlinecommunication, geographical routing, cluster creation, network coverage. Most of the newlineexisting localization solutions have low accuracy in obstructed environments and did newlinenot consider the resource limitations of WSN. newlineT rectify the issues of sink repositioning, this thesis presents a K-Partitioned newlineMinimum Depth Tree (k-PMDT) using the optimal search for placing optimal number newlineof sinks in sensor networks.