Quantitative Analysis of Network Configuration in Randomized Distribution Wireless Sensor Networks

Utilizing the clustering algorithm to form hierarchical network topology is the common method of implementing network management and data aggregation in wireless sensor networks. Many of the clustering algorithms heuristically determine the node energy, optimal node communication radius, and clustering radius, even though these parameters affect energy consumption of the entire network. In order to minimize energy consumption of the entire network, we present the optimal configuration by quantitative analysis when the nodes follow the random distribution. With the conclusion of quantitative analysis in single cluster expanded to the general case, the minimum of the network energy and optimal clustering radius are figured out. Simulated tests indicate that the optimal configuration can contribute to building more balanceable clustering structure and enhancing the network life cycle obviously.