Journal of Computer Science

Cross-Layer Design for Reducing the Energy Consumption based on Mobility Parameter in DSR for Mobile Ad-Hoc Network

V. Bhanumathi and R. Dhanasekaran

DOI : 10.3844/jcssp.2012.460.467

Journal of Computer Science

Volume 8, Issue 4

Pages 460-467


Problem statement: The main idea is to design an energy efficient algorithm for reducing the amount of overhearing based on RSS value in a Mobile Ad-hoc Network (MANET). Approach: A cross layer framework is designed by combining the physical, MAC and network layer. RSS value is taken from the physical layer and it is used for finding the Mobility Parameter (MP). MP value determines the level of overhearing and rebroadcast probability. The energy conservation is achieved by integrating the 802.11 PSM with DSR. In 802.11 PSM, all the nodes are in low power sleep state, but the disadvantage here is unconditional overhearing. So, a conditional overhearing mechanism is proposed based on mobility parameter to reduce the energy consumption. This mechanism reduces energy consumption but at the same time, the node mobility results in more stale routes in route cache of DSR over a period of time. This occurs due to the lack of route cache updation. In the proposed design, RSS value determines whether to select the link or not prior to the route discovery process. Results: Simulation results are compared for Packet Delivery Ratio (PDR) and energy consumption. MP based conditional overhearing shows a 3.2% PDR improvement. It achieves a 20% power saving, if the pause time crosses 300 sec. For the packet injection rate of 2 packets/sec, under no mobility condition, it utilizes 50 joules lesser energy consumption compared to Random Cast. Conclusion: The NS-2 simulation results reveal that the proposed work is energy efficient by reducing the amount of overhearing and also it eliminates the stale routes compared to the classical methods.


© 2012 V. Bhanumathi and R. Dhanasekaran. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.