An Improved AntNet Algorithm In The Zigbee Network

1. IntroductionIn December 2000 IEEE set up a working group IEEE802.15.4 for the establishment of a fixed, portable or mobile devices use low-complexity, low-cost and low-power low-data-rate wireless connectivity. The commercial name for ZigBee. IEEE802.15.4's ZigBee standard was approved in May 2003, mainly suitable for wireless automation, and can be embedded in all kinds of devices, while supporting geo-positioning functions. Zigbee wireless technology is in this environment for the development of thriving in the right moment. Unlike some other communication technologies, it is not the pursuit of its high-speed, long-distance, but rather directed at a specific family in the smart, intelligent buildings, industrial automation and medical control and certain areas of application needs, only to lock the scores kbs rate, meters to tens of meters distance wireless group Netcom letter of capacity, and under such conditions, to identify other technical requirements - micro-power, low complexity, low prices further, from the birth of a new wireless communication Technology - Zigbee.Currently in the Zigbee network layer routing protocol used by the sensor network is currently being used on some of routing protocols such as LEACH agreement. The two most important question of sensor networks is: sensor network node's energy constrained and QoS issues of the high reliability sensor network.2. Improved AntNet algorithmAntNet algorithm is a distributed, random, at any time, with the time changes the wireless routing algorithm. The basic AntNet algorithm to solve the basic data flow maldistribution problem. However, as the basic algorithm performance resulted Zigbee nodes around the Sink node some frequent communication the Sink nodes, excessive consumption of energy will inevitably lead to these nodes quickly died because of the excessive consumption of energy. This paper's improved AntNet algorithmFirst of all, this improved algorithm to update the pheromone in the way for the network.On the basis of MMAS algorithm ,this paper improve a way of pheromone re-initialization of a quick poor path. When the algorithm implementation to a certain time, MMAS has been fixed to choose the optimal solution can not find better solutions. At this time, the new algorithm initialize the pheromone ,the route of less pheromone is pathed ou,the route of more information is given the maximum. This reinforces the exploration of the algorithm. Through simulation in C + + running on the platform compared to prove that the algorithm can be used to solve the optimal solution of local issues, and the classification of information through the initialization of the pheromone concentration on the lower path of rapid elimination and accelerating the speed of convergence and thus speeding up the algorithm to find the optimal path process. Simulation results show that the new algorithm optimize the quality and efficiency of the algorithm is superior to the traditional algorithms, close to the best theoretical value.Second, the improved AntNet algorithm for AntNet algorithm, the shortcomings of the nodes around the Sink node excessive energy consumption, the algorithm periodically choose some of Sink-Sink node, only these Sink-Sink nodes can contact only through other nodes of Sink node, other nodes indirect contact with Sink by Sink-Sink node. When the Zigbee network implementation for a period of time, the algorithm choose to the Sink-Sink node, the node as a reduction of the probability of Sink-Sink node, thereby reducing the Zigbee network the whole,average energy consumption, reduction of the mortality rate nodes.3. ConclusionThrough structureing NS2 simulation platform, a simulation Zigbee wireless sensor networks, the simulation results prove that the improved AntNet algorithm compared to the two other existing wireless routing algorithm LEACH algorithm and AntNet algorithm ,the energy consumption in the network, node mortality and the degree of network congestion has several notable improvement.It prove that the algorithm can be stable in the Zigbee wireless sensor network applications.