A Strategy for Avoiding Energy Holes Based on Data Fusion in Wireless Sensor Network

Abstract:

Energy holes problem is one of key issues for wireless sensor networks (WSN). At present, the resolved strategies mainly focus on non-uniform node distribution and adjusting transmission power. However, some costs are incurred by non-uniform node distribution. With the number of nodes increasing, the total number of nodes grows exponentially, and there is a need to improve physical conditions when we increase transmission power significantly in large class of network model; To overcome the limitation, we propose the strategy of data fusion, whose reason is that it is not limited to the size of network, and does not need complicated physical conditions. In this paper, we first establish a network model Multiple-Layer and Multiple-Clusters in corona model (MLMC) to analyze the loading energy consumption. What’s more, we consider energy consumption when network is constructed. Furthermore, we fully introduce our strategy of data fusion, and prove two theorems to balance energy consumption for resolving energy holes problem. Finally, we compare and analyze the total energy consumption and network lifetime between before and after data fusion. The experimental results demonstrate the performance advantages of our approach. The best is to read these instructions and follow the outline of this text.

• Periodical: Advanced Materials Research (Volumes 546-547)
• Pages: 729-734
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.546-547.729
• Online since: July 2012
• Authors: Xiao Ying Song, Tao Wen, Quan Guo, Di Wu
• Keywords: Avoiding Energy Holes, Balance Energy Consumption, Data Fusion, Wireless Sensor Network (WSN)

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