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Energy-aware Georouting with Guaranteed Delivery in Wireless Sensor Networks with Obstacles

Abstract : We propose, EtE, a novel end-to-end localized routing protocol for wireless sensor networks that is energy-efficient and guarantees delivery. To forward a packet, a node s in graph G computes the cost of the energy weighted shortest path between s and each of its neighbors in the forward direction towards the destination which minimizes the ratio of the cost of the shortest path to the progress (reduction in distance towards the destination). It then sends the message to the first node on the shortest path from s to x: say node x′. Node x′ restarts the same greedy rout- ing process until the destination is reached or an obstacle is encountered and the routing fails. To recover from the latter scenario, local minima trap, our algorithm invokes an energy-aware Face routing that guarantees delivery. Our work is the first to optimize energy consumption of Face routing. It works as follows. First, it builds a connected dominating set from graph G, second it computes its Gabriel graph to obtain the planar graph G′. Face routing is invoked and applied to G′ only to determine which edges to follow in the recovery process. On each edge, greedy rout- ing is applied. This two-phase (greedy-Face) End-to-End routing process (EtE) reiterates until the final destination is reached. Simulation results show that EtE outperforms several existing geographical routing on en- ergy consumption metric and delivery rate. Moreover, we prove that the computed path length and the total energy of the path are constant factors of the optimal for dense networks.
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Submitted on : Wednesday, June 8, 2011 - 5:04:39 PM
Last modification on : Thursday, February 24, 2022 - 3:10:18 AM
Long-term archiving on: : Friday, September 9, 2011 - 12:06:46 PM

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Essia Hamouda, Nathalie Mitton, Bogdan Pavkovic, David Simplot-Ryl. Energy-aware Georouting with Guaranteed Delivery in Wireless Sensor Networks with Obstacles. International Journal of Wireless Information Networks, Springer Verlag, 2009, 16 (3), ⟨10.1007/s10776-009-0105-1⟩. ⟨inria-00599171⟩

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