Mobility Management Schemes for Cost and Path Optimization and Routing Algorithms in Manet

Abstract

ABSTRACT newline newlineThe rapid growth of the wireless mobile networks and services, In this research work, a novel mobility management scheme is proposed tominimize the total cost and balance the location update and search operations bymaintaining the mobility history. Due to their attractiveness and robustness, a hybridAnt colony optimization andTabusearchalgorithm is developedto optimally solvethe reporting cells planning problem. In this work, some cells in the network aredesignatedasreportingcells.Generally,themobileterminalsupdatetheirownposition afterenteringinto oneofthesereportingcells.Tocreateaplanner,theproposed revised optimization algorithm is to be implemented. Hence, the total cost isvery low as compared with the existing algorithm used for mobility management. newlineAroutingoptimizationalgorithmissuggestedinthesecondphaseoftheresearch work to decide an ideal path from a source to a destination in mobile ad-hocnetworks. The proposed algorithm involves combining a Tabu Search (TS) with theGenetic Algorithm (GA) that is an agent meta-heuristic algorithm. The proposed TS-GAcreatetwoneighborhoodstodecideanidealpathandminimizetheoverallexecution time. The proposed TS-GA decreases the routing cost. The proposedTS-GAalgorithmoutperformsexitingalgorithms. In MANET communication applications nodes tend todissipate some amount of energy during data transfer. The cluster based routingperformsdatatransmissionthroughtheClusterHeads(CHs),whichreducestheenergydissipationofthenodesinthenetwork.To overcome the routing and clusteringissues, a Bat Inspired Cluster Head Gateway (BICHG) protocol is proposed in thisresearchwork.TheproposedprotocolisahybridizationoftheBatInspiredCHSelection (BICHS) algorithm and On-demand Cluster Head Gateway (OCHG) routingprotocol.The proposed algorithm is evaluated in terms of different parameters newline newline