Research And Application Of Zigbee Network Tree Routing Algorithm Based On Energy Perception

The perceived monitoring of wireless sensor networks is an important source of the underlying data of the Internet of things(IoT).The wireless sensor network is bound to have a wide application prospect under the great opportunity of rapid development of large data and Internet of things.However,the wireless sensor network is subject to energy supply and real-time.A large number of studies have shown that the energy consumed by ZigBee nodes accounts for more than 50% of the total energy consumption of the nodes.Therefore,choosing the appropriate ZigBee routing algorithm is necessary to solve the problem of excessive network energy consumption,improve ZigBee network transmission performance,and promote the application for ZigBee in complex environments,which has a high theoretical and practical value.The traditional ZigBee tree routing algorithm can only communicate data up or down along the tree structure.The advantage of this algorithm is simple,low complexity and rapid networking.The disadvantage of this algorithm is that selecting routing does not consider the neighbor node,which increases hop-counts,consumes a lot of energy,and does not balance network energy distribution.Through the comparative analysis of ZigBee classic routing algorithm,taking into account the domestic and foreign experts and scholars of the research program,this topic puts forward the optimization strategy of ZigBee routing algorithm.The main research work of this topic is as follows:(1)According to the problem of ZigBee tree routing algorithm is not better path and balance energy distribution,a ZigBee tree routing optimization algorithm is proposed based on energy perception by using the neighbor table.The algorithm is mainly improved from the following three aspects.Firstly,it determines whether the node has a route forwarding function.Secondly,it adopts dynamic energy threshold to determine the energy state of the node,limiting the use of low-energy nodes to avoid the problem of network segmentation.Thirdly,it calculates hop-counts from an arbitray the next hop node to the destination node,and then selects the shortest path,which reduces the routing overhead and avoids the network loop effect,espectialy,it chooses the next hop node to forward data,which the remaining energy node is greater than it's energy threshold.Through the construction of NS2.35 new protocol platform,the simulation results show that the algorithm can improve the performance of network packet delivery rate,hop-counts,end-to-end delay and energy consumption.In terms of network lifetime,EZTR is prolonged by about 19.40%?12.68% than ZTR?ESTR.(2)In order to verify the practicality of the optimization algorithm and meet the characteristics of the real-time for monitoring system,an intelligent power-limited control system based on improved algorithm is proposed.The ZigBee module,the temperature and humidity measurement module and the 3G wireless communication module are added to the original power limit controller of the power company office area.The routing algorithm for network layer in the ZigBee module adopts the optimized tree routing algorithm.The hardware is designed to verify the strategy for proposed algorithm to limit the use of low energy nodes.The results of test show that this system's network life cycle than not use of optimization algorithms system is prolonged by about 25.00% and realizes the function of intelligent power limit.This system has a certain practical value.