Performance optimization for wireless sensor networks based on gradient neighbor information
基于梯度化邻居节点信息的传感器网络性能优化*

As a result of the rough control on routing, the original minimum hop routing (MHR) wireless sensor networks has such shortcomings as inconsistently reliability and poor energy-efficiency in the process of data sinking, it is necessary to further improve the MHR networks. In order to improve the performance of MHR networks, a reliable and efficient minimum hop routing (MHR-ER) wireless sensor networks on basis of MHR networks is presented. With the help of gradient neighbor information discovered from the network behaviors, the routing is controlled finely. By controlling the level width of the minimum hop gradient field, the consistently reliability of data sinking is ensured. By limiting the number of forwarding node in every hop, the energy-efficiency is improved. The theoretic analysis and simulation result validated that the reliability and efficiency of MHR-ER networks is high, these is good for promoting the practical application of minimum hop routing networks.