Eliminating the Power Constrains in Adhoc On demand Distance Vector for Mobile Networks

Present Internet has been developed approximately for past forty five years. Nowadays many network researchers are involved in wireless communications. Wireless networks allow hosts and routers to roam without the constraints of wired connections. Therefore, the network topology can be dynamic and unpredictable. Traditional routing protocols used for wired networks cannot be directly applied to most wireless networks because some common assumptions are not valid in dynamic networks. This is because in mobile Adhoc networks, mobile devices wander autonomously from the originating place to other place. In this research paper we have taken one familiar routing algorithm called Adhoc On-demand Distance Vector routing algorithm (AODV). Mobile Adhoc networks are employed in critical environment like military battle fields and rescue operations in the forest. In such environment Power constrains are considering to be serious since there is no power supply to charge the battery of mobile device. So it is very important to reduce the power consumption of the mobile node. AODV provides Route Reply (RREP) along the path through it receives Route Request (RREQ). Sudden change of topology causes that the Route Reply could not arrive to the source node, i.e. after a source node sends several route request messages; the node obtains a reply message which leads to loss of battery power. This increases the power consumption and communication delay also decreases the packet delivery ratio. The power consumption and other problems can be eliminated through a modification in AODV technique. This modified AODV is called reverse AODV (RAODV), The second mechanism proposes a new adaptive approach which seeks to incorporate the metric "residual energy " in the process of route selection, Indeed the residual energy of mobile nodes were considered when making routing decisions. The second method of AODV is referred as Energy Reverse AODV (ERAODV) which incorporate RAODV. The NS2 simulation result shows that the battery power consumption is reduced.