DEVELOPMENT OF ROUTE RECOVERY PROCESS OF LINK FAILURE OVER MOBILE SENSOR NETWORK BY USING CHECK POINT ROUTE RECOVERY ALGORITHM

Abstract

Mobile Sensor Networks (MSNs) is a collection of sensing devices that can wirelessly communicate with each link among all the mobile nodes. In dynamic topology, the nodes are free to move and frequently change their positions. Link failure is a major issue of the current wireless mobile sensor network due to node mobility, node energy loss or drains to battery power. This research work has been made to compare the performance of three prominent mechanisms support of AODV routing protocol for Mobile sensor network: Divert Failure Route Recovery (DFRR), Proposed AODV (PRO-AODV) and Check Point Route Recovery (CPRR) mechanisms. PRO-AODV and DFRR mechanisms were designed to avoid a link failure route recovery process, based on the node sequence number and in advance node signal strength connection in a highly dynamic ad hoc network. CPRR mechanism overcomes the problems of low energy in a node, node monitoring and blocking of node and rectification of a process for active communication. The CPRR mechanism maintains sensor activities on actor nodes, link failure route recovery process can be done by using the help of static, dynamic sensors and Network Topology Management (NTM) for optimal connection in MSNs. The performance evaluations of these three methods are analyzed at different time intervals. The entire work is compiled by NS-2 simulator. The evaluation and implementation of efficient routing establishment methods are analyzed by using different parameter metrics. The existing work related to diverting failure route recovery approach, a link failure problem on Mobile Sensor Network by using Divert Failure Route Recovery (DFRR) mechanism for optimization of the round trip path algorithm. The Round trip path detection algorithm, circular topology, and flow chart of the DFRR Process are explained. The first proposed method PRO-AODV mechanism focuses on route repair of the links based on the energy level of sensor nodes by detectthe ing efficient route between the source and destination in a mobile sensor network.