Energy And Traffic Aware Routing Computer Science

Essay add: 1-04-2016, 15:26   /   Views: 32

The importance of Ad-hoc network is due to its nature of infrastructure-less and decentralization. In Ad-hoc network some nodes can become a critical spot in the network as they forward the packets to most of their neighbors. These critical nodes can deplete their battery power earlier, because of excessive load and processing for data forwarding. These unbalanced loads turn to nodes failure, network partition and reduce the route lifetime and route reliability. Energy consumption issue is a vital research topic in wireless ad hoc networks, because wireless nodes in such networks operate on limited battery power. This dissertation describes An Energy and Traffic Aware Routing approach as an extension of AODV algorithm for Ad hoc network, utilizing the high energy path based on Route Selection Function. Our proposed algorithm adapts existing AODV routing protocol to improve performance in terms of traffic load on node, energy conservation and other performance metrics. The purpose of Route Selection Function is to improve lifespan of Ad hoc network and corresponding effect on overall network performance. We utilize the ability of wireless network interface cards to dynamically change their transmission power, as well as the ability of wireless devices to read the remaining battery energy and interface queue value of the device to create a table. We use interface queue as traffic on particular node if queue is less loaded than it can say that there is less traffic on node. Both these values are used to select the efficient path for data transmission. Our energy and traffic aware scheme is applied to reactive MANET routing protocols. As examples and to evaluate performance, the technique has been applied to the Ad hoc on demand Distance Vector Routing (AODV), Simulations have been carried out on mobile nodes in network. Results show improvements in network lifetime in certain mobile scenarios. Results also show better distribution of residual node energies and traffic at the end of simulations, which means that the scheme is balancing energy load and traffic more evenly across network nodes than the unmodified version of AODV.


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