Topology Control Algorithm Based On Energy Conservation In Wireless Sensor Networks

Wireless sensor networks are important components of Internet of things and its integration with radio frequency identification has promoted the applications of Internet of things greatly. For energy-constrained WSNs, the energy-conservation-oriented topology control research, whose main purpose is to extend the lifetime of WSNs, could be a difficult point, which is reflected in the number of alive node, the energy consumption and the number of data received at base station (hereinafter referred to as BS) in the monitoring region.The topology plays a significant role in the overall performance of the network, whereas the topology control algorithm is a decisive factor to the formation of topology. Firstly, after cognition of network architechture, node structure, and protocol stack, a lot of work is carried out for the design of energy conservation, including efficiency design of node model, energy consumption of communication, energy efficiency of route and topology. Secondly, drawing a conclusion that the overall performance of LEACH algorithm is optimum by studying topology control algorithm of the planar, three-level type and inspired mechanism, summarizing the advantages and disadvantages of each, and comparing the representative algorithms of MTE (minimum transmission energy), LEACH (low energy adaptive clustering hierarch) and STAT-CLUS (static clustering).On this basis of key study of hierarchical topology control algorithm, the improved CAEC algorithm (clustering algorithm of energy conservation) is proposed, which is achieved by electing cluster head, dividing the cluster areas and communicating stably. One thing to be mentioned is that the calculation of right value which considers the remaining energy, the distance between BS and the connectivity is introduced when CAEC algorithm elects cluster head, so cluster head node has high residual energy, near distance to BS, large connectivity degree. Finally, the simulation result indicates that the CAEC algorithm is more reasonable than LEACH algorithm when the cluster areas are divided, so the network lifetime is extended, displaying in the respective improvement of the number of alive node, the energy consumption and the number of data received at base station.At the end of this paper, the main contributions are summarized briefly, and some shortcomings are pointed out. On this condition, the direction of further research is proposed.