Research Of Improved Routing Algorithm And Batch Estimate Algorithm In ZigBee Network

The generation of wireless sensor networks, like the internet, has a landmark, and the development of network technology opens a new chapter. However, in wireless sensor network, once residual energy of the node is exhausted, node will be on the verge of death. Upon the death of an increase in the number of nodes, the path of the network will face paralysis. The communication of entire network will be greatly affected. This article studies technology in ZigBee wireless sensor network, some of the key issues for the corresponding solution. The main content is as following:First of all, this article introduces the ZigBee network and application development trends and the primary method of the existing energy efficiency of wireless sensor networks. The article describes in detail the ZigBee protocol stack and ZigBee network routing protocol, simulates the ZigBee network with NS-2, analysises the relationship between routing overhead and the node energy consumption.Secondly, this article analysis the ZigBee network nodes share space in detail and node speed to affect the routing overhead and network energy consumption. Also, this paper introduces the relationship between share and routing overhead in the time domain, concluded that the more the number of nodes within the space, the larger the network routing overhead is , also the higher energy is. The article improved ZigBee network routing protocol: shorten the distance of RREQ packet, reduce the amount of control packet transmissionto reduce network routing overhead and save energy, and to prove the effectiveness of the improved Routing Protocol by simulation.In the end, considering the data redundancy and large energy consumption in the case of large share of node space, an improved batch estimation algorithm in data aggregation is proposed to be used in ZigBee network. This algorithm is fusing light intensity data in ZigBee spatial domain, the algorithm indicates a method in the application layer, so as to to improve node utilization and reduce energy consumption.