A Dynamic Energy Balance Method for Wireless Sensor Networks with Small World Characteristics

Abstract

Wireless sensor networks are often used in harsh environments, such as military fields, the node energy is difficult to be added. How to design an energy efficient network model to achieve the balanced utilization of node energy and prolong the lifetime is an important challenge for the research of wireless sensor networks. Small world networks have short average path length and large clustering coefficient, which present the characteristics of high global data transmission efficiency and good local node connectivity. So the characteristics of small world networks provide a theoretical basis for building an energy efficient network. In this paper, the small world construction methods for wireless sensor networks are summarized. Wireless sensor networks with small world characteristics are constructed based on the hybrid mode, which can be divided into the stage of topology optimization, small world model construction and energy dynamic balance. The MSW-WSNs-A3 and MSW-WSNs-A3 Cov are formed based on hybrid model of small world wireless sensor networks. Based on Java platform, the new network modes are simulated and analyzed. The results show that MSW-WSNs-A3 and MSW-WSNs-A3 Cov have longer lifetime and better effectiveness.