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Estimation of Energy Efficient Consumption of Reactive and Proactive Routing Protocols in MANET


Affiliations
1 Department of Computer Science, STC College, Pollachi, India
     

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Certain unique combinations of characteristics make routing in ad hoc networks interesting.  The limited energy capacity of mobile computing devices has brought energy conservation to the forefront of concerns for enabling mobile communications. This is a particular concern for mobile ad hoc networks where devices are expected to be deployed for long periods of time with limited potential for recharging batteries. Such expectations demand the conservation of energy in all components of the mobile device to support improvements in device lifetime. Mobile Ad hoc Networks consist of mobile nodes with limited battery power. The critical issue for routing in mobile ad hoc network is how to select a stable path with longer lifetime since mobility and power drain of a node causes frequent path failure. This path failure causes frequent route discovery which affects the performance of the routing protocol. The path failure also increases computational overhead of the nodes. Hence, in this paper, we introduce Energy Efficient – Optimized Hierarchical Routing Algorithm (EE-OHRA), to provide better and more stable energy based routing path for similar node’s characteristics in a network environment. The related node discovery algorithm is planned in that network, this is applied to select the routing node for the particular path with similar or related nodes with its capacity, and characteristics. It is easy to offer predictable packet transmission in a specific path. The theoretical analysis and simulation results shows that our proposed optimized EE-OHRA reduces total power consumption, reduces end-to-end delay, increases packet delivery ratio and achieves maximum network lifetime.


Keywords

Energy Efficiency, Hierarchical Routing, Energy Optimization, Clustering, AODV, Sensor Nodes.
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  • Estimation of Energy Efficient Consumption of Reactive and Proactive Routing Protocols in MANET

Abstract Views: 173  |  PDF Views: 0

Authors

S. Vinod Kumar
Department of Computer Science, STC College, Pollachi, India
V. Anuratha
Department of Computer Science, STC College, Pollachi, India

Abstract


Certain unique combinations of characteristics make routing in ad hoc networks interesting.  The limited energy capacity of mobile computing devices has brought energy conservation to the forefront of concerns for enabling mobile communications. This is a particular concern for mobile ad hoc networks where devices are expected to be deployed for long periods of time with limited potential for recharging batteries. Such expectations demand the conservation of energy in all components of the mobile device to support improvements in device lifetime. Mobile Ad hoc Networks consist of mobile nodes with limited battery power. The critical issue for routing in mobile ad hoc network is how to select a stable path with longer lifetime since mobility and power drain of a node causes frequent path failure. This path failure causes frequent route discovery which affects the performance of the routing protocol. The path failure also increases computational overhead of the nodes. Hence, in this paper, we introduce Energy Efficient – Optimized Hierarchical Routing Algorithm (EE-OHRA), to provide better and more stable energy based routing path for similar node’s characteristics in a network environment. The related node discovery algorithm is planned in that network, this is applied to select the routing node for the particular path with similar or related nodes with its capacity, and characteristics. It is easy to offer predictable packet transmission in a specific path. The theoretical analysis and simulation results shows that our proposed optimized EE-OHRA reduces total power consumption, reduces end-to-end delay, increases packet delivery ratio and achieves maximum network lifetime.


Keywords


Energy Efficiency, Hierarchical Routing, Energy Optimization, Clustering, AODV, Sensor Nodes.