Abstract
Energy conservation is important for mobile ad hoc networks where devices are expected to work for longer periods of time without the need for charging their batteries. Therefore there is a need of an intelligent routing protocol that can minimize overhead and ensure the use of minimum energy routes. In Progressive Energy Efficient Routing, energy efficient shortest paths are selected with minimum energy consumption. Here due to the single path routing, there occur end-to-end delay, routing overhead and packet loss. Therefore to overcome these issues, PEER can be extended for multipath routing. Link-stability metrics and energy aware metrics can be applied for path selection. By this method, stable links are selected. In this study, energy efficient routing is done with maximum life time. The proposed Link-Stability and Energy Aware Multipath Routing gives good performance results in terms of packet delivery ratio, packet drop, energy consumption and delay compared with Progressive Energy Efficient Routing.
Highlights
MANET: A Mobile Ad hoc Network (MANET) is defined by the MANET Working Group as “an autonomous system of mobile routers connected by wireless links-the union of which forms an arbitrary graph”
We propose a Link-Stability Energy Aware Multipath Routing protocol and the performance metrics of a MANET were studied
The performance is evaluated based on Number nodes and Speed in terms of packet delivery ratio, packet drop, energy consumption and delay
Summary
MANET: A Mobile Ad hoc Network (MANET) is defined by the MANET Working Group as “an autonomous system of mobile routers (and associated hosts) connected by wireless links-the union of which forms an arbitrary graph”. De Rango et al (2008) have presented a two novel mechanisms for the OLSR routing protocol, aiming to improve its energy performance in Mobile ah-hoc Networks They propose a modification in the MPR selection mechanism of OLSR protocol, based on the Willingness concept, in order to prolong the network lifetime without losses of performance (in terms of throughput, end-to-end delay or overhead). The important reasons for this behavior of BeeSensor are: a simple routing agent model, agentagent communication to discover optimal paths, fixed size of route discovery agents that saves significant amount of energy during their transmission and makes the algorithm scale to large networks, distributed and decentralized control and self organization to make it resilient to external failures
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