A Routing Algorithm Based on High Energy Efficiency in Cooperation WSN
To solve the weakness of small energy reserves of wireless sensor network, an ant colony algorithm based on the minimum energy consumption was proposed. The new algorithm chooses the path from the energy consumption of the current node to the next hop nod
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A Routing Algorithm Based on High Energy Efficiency in Cooperation WSN Jianbin Xue, Ting Zhang and Wenhua Wang
Abstract To solve the weakness of small energy reserves of wireless sensor network, an ant colony algorithm based on the minimum energy consumption was proposed. The new algorithm chooses the path from the energy consumption of the current node to the next hop node, the path which chosen has the big pheromone to balance the energy consumption of whole network by the rules of intra-cluster communication and inter-clustering communication, and choosing the better link to realize the data transmission. The simulation results show that the path chosen by the algorithm is better than the simple ant colony algorithm, and the algorithm can save the network energy consumption better and can prolong the life cycle of the network. Keywords WSN
Ant colony algorithm Energy efficiency Life cycle
17.1 Introduction Wireless sensor network (WSN) as one of the key technologies of the Internet of things is listed as one of the ten major technologies in the future. Wireless sensor network, compared with the common mobile communication network, wireless LAN, Bluetooth network, the Ad hoc network wireless network, has obvious advantages. It is a data-centric application-oriented networking, such as: strong ability to selforganization, dynamic topology, the system of dynamic reconfigurable, and the number of nodes, the distribution of high density etc. But WSN has some problems which largely restrict the development of wireless sensor networks. For example, WSN energy efficiency is large; the hardware resource is limited. J. Xue (&) T. Zhang W. Wang School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China e-mail: [email protected]; [email protected]
Z. Zhong (ed.), Proceedings of the International Conference on Information Engineering and Applications (IEA) 2012, Lecture Notes in Electrical Engineering 219, DOI: 10.1007/978-1-4471-4853-1_17, Ó Springer-Verlag London 2013
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At present, many studies have focused on wireless sensor network power energy. In particular, in [1], an ant colony algorithm is applied to the routing protocol of wireless sensor in order to solve the problem of the limited energy of nodes in wireless sensor network, and in [2] a WSN model based on MIMO was introduced, and the energy consumption in this case was analyzed, compared with SISO, the inductive of the MIMO could reduce more energy consumption of the network. Wang et al. [3] proposed a network of wireless sensor networks clustering algorithm based on ant colony. The algorithm effectively balanced network energy consumption, and prolonged the network lifetime. Li and Zheng proposed a variety of group ant colony optimization routing algorithm in [4], it could obtain multiroutes, balance the energy consuming in the WSN, prolong the lifetime, and reduce the network congestion. In accordance with the problem of shortest path, a fallback ant colony algorithm based on altitude informa
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