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Energy-aware routing algorithms in Ad Hoc Networks. Motivation Mobile nodes are battery-operated and one or several nodes’ energy exhaustion may cause the disruption of the entire network A number of approaches focus on minimizing the total consumed power.
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Energy-aware routing algorithms in Ad Hoc Networks • Motivation • Mobile nodes are battery-operated and one or several nodes’ energy exhaustion may cause the disruption of the entire network • A number of approaches focus on minimizing the total consumed power. • Several approaches’ goal was to maximize the life time of the system. However, these are based on static topology and given traffic demands in advance. • Our goal is to propose energy-aware routing algorithms in dynamic ad hoc network environments to achieve max. system lifetime. • Routing Algorithms • Maxmin routing algorithm – choose the path whose minimum energy level node has the maximum value among all paths. • Maxmax routing algorithm – choose the path which has maximal residual energy on the path • Maxavg routing algorithm – choose the path which has maximal average energy level • Shortest path routing algorithm – no energy consideration • Simulation Setup • Single source-destination pair without node mobility • Single source-destination pair with node mobility • Multiple source-destination pairs without node mobility • Multiple source-destination pairs with node mobility • Introduction of energy balance factor which represents the heterogeneity of initial energy level at each node • Results/Lesson Learned • Overall our Maxmin algorithm performs well. • One example of results: • Simulation techniques such as generating topology and random traffic etc. • Obtain a research trend of energy-aware design in mobile computing environments Project team: Jangwon Lee & Xiangying Yang URL: http://www.ece.utexas.edu/~yangxy/395T.htm