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In mobile ad hoc network (MANET) the devices are interconnected by wireless manner that are able to ubiquitously retrieve contents such as video and audio streams, still images, and scalar sensor data from the environment. MANET provides low power in hazardous environment where replacement of fault evaluation in the MANET is impossible. Hence, development of an energy efficient network is essential in MANET, where the cost of network depends on the energy consumption of each mobile node. Overutilization of energy by a mobile node cannot contribute to the utility or the network as a whole. Hence to optimize the utilization of energy at each node, we propose an energy efficient multipath routing protocol for MANET for enhancing QoS and QoE metrics (EMRP-QQ), which can eventually minimize the data loss and hence there liability of the mobile nodes and the overall network. In our proposed approach an energy efficient clustering is performed using particle swarm optimization (PSO), where all the nodes are clustered without any residual nodes left in the system. Using the appropriate selection of CH and SCH the overall networks overhead utilization is reduced and hence the QoS of the network is enhanced. The result obtained through NS-2 simulation shows that the proposed algorithm performs better than FQ-MP-OLSR approach in terms of reduced energy consumption of each node without affecting QoS and QoE metrics.

In this paper, we focused on of the most proliferated network that is Mobile Adhoc Network (MANET). Due to the dynamic nature and limited power of nodes, the routes will fail frequently which intern cause high power dissipation. This paper proposed a reliable and power efficient routing with the nodes having high power level. As well as, this approach also concentrated on the reduction of power consumption during route failures by adapting an on-demand local route recovery mechanism through a set of helping nodes and they are called as Support Nodes (SN). The cooperation of support nodes will reduce the power consumption and significantly increases the reliability. The performance of proposed approach was evaluated through average energy consumption, packet delivery ratio and end-to-end delay over varying node speed and varying packet size. The power optimization and reliability achieved by the proposed approach gives an ideal solution to the future communication in MANETs for a long time.

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