In this paper, we devise and evaluate an Energy-aware Improved Directed Diffusion (EIDD) algorithm for area event monitoring in wireless sensor network. Through Diffusion of different type interest, a gathering node is chose to build an aggregate tree to gather and aggregate data in the event area. Meanwhile, we improve the way using to build the gradient field in original Directed Diffusion. The new way can find more logical route by taking residual energy as a key element. The simulation results show that EIDD gains better energy efficiency, data collection efficiency and lesser transmission delay compared with original Directed Diffusion.
CITATION STYLE
Guo, B., Li, Z., & Li, D. (2006). Energy-aware improved directed diffusion algorithm for area event monitoring in wireless sensor network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4317, pp. 41–48). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/11951957_4
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