| Title | Research of Wireless Network |
| Abstract | Wireless Sensor Network (WSN) monitors, senses and collects different information of environment and objects with sensors in real time. The information collected is sent in wireless way and transmitted to the user terminal by multi-hop networks. By this way, WSN becomes the bridge between human society and nature. As WSN is completely different from other networks, it is a big challenge to study routing of WSN. Some routing protocols are analyzed in the paper and an improved Ant-Colony Based Routing Algorithm of WSN is proposed on the basis of assimilating the excellent idea from them.It is significant to apply the ant algorithm in WSN for it can be at the convergence of the shortest path in a short time, whereas, the fast convergence will cause congestion of the network and decrease the network lifetime. This paper makes an advance for Ant-Colony Based Routing Algorithm of WSN. In the improved algorithm, an ant-liked packet is broadcast through the network. In this process the grade field and the pheromone of all the links can be established and updated and the energy of network nodes is considered as a factor of pheromone.To balance the energy consumption of the network nodes and prolong the network lifetime, this paper imported the multiple ant colony competition mechanism. In this advanced algorithm (AERA) the pheromone of each ant colony will be influenced by others’. As a result, the pheromone of multiple ant colonies and the energy of network nodes are combined to affect the routing strategy. By the control of the pheromone of multiple ant colonies, this algorithm avoid excess convergence, so it can make a good control of network congestion, balance the energy consumption of the network nodes and prolong the lifetime of the whole network.The results of simulation in NS environment show that the improved Ant-Colony Based Routing Algorithm and AERA algorithm achieve their design objective. And compared with Ant-Colony Based Routing Algorithm, the improved algorithm and AERA algorithm have well balanced the effective routing and energy consumption. |
| Category | Radio |
| Keywords | Ant Colony System (ACS), congestion control, Energy routing, pheromone, |
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| Pages | 165 |
| Price | US$60.00 |
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Research of Wireless Network
Billy HU, Ph.D
E-Mail:itpaper@hotmail.com
TEL:1-888-786-998A
