Research Of The Wireless Sensor Network Routing Protocol Based On Particle Swarm Optimization

In the mobile communication network, in addition to lower spending to achieve high-speed data transmission in a variety of living environments, network should be adaptability and viability. Wireless sensor network (WSN) can work well in the harsh conditions, so it will occupy an important role in future mobile communication networks. After continuous research, wireless sensor networks have a wide range of applications in various fields, such as in the military field, precision agriculture, security and surveillance, environmental monitoring, the field of architecture, medical monitoring, industrial monitoring, intelligent transportation, logistics management, free space exploration, and smart home and so on. It has been fully affirmed and displayed in these application areas. With the electronic technology and communications technology have been matured and developed, wireless sensor networks has become a hot research field in academia and industry. Wireless sensor networks is a wireless communication network, it is compose of low power consumption and small size sensor nodes. These network nodes are distributed in the deployed area, they can work together to monitoring, sensing, and collecting the information of objects which have a very broad application prospects. Due to the limited energy of sensor nodes in wireless sensor networks, often replace the battery is not reality, in the design of self-organization agreements, energy efficiency is an important issue to consider. The primary Energy consumption of sensor nodes is wireless communication module, so the quality of the routing protocol is a direct impact on the overall performance of WSN. The WSN routing protocols are divided into flat routing and hierarchical routing. Studies have shown that to extend the network life cycle, the sub-cluster routing topology fuse and efficient transfer data use by cluster head node. Taking into account the communications between cluster head and base station will consume a lot of energy, dynamic cluster head selection and optimal clustering also is a problem to be solved.Particle Swarm Optimization (PSO) is a evolutionary computing technology based on swarm intelligence. PSO was first proposed by Eberhart and Kennedy. It inspired by the result of artificial life research proposed in1995. The basic concept comes from the study of birds prey behavior, to search for the optimal solution through the collaboration of groups of particles. The PSO algorithm is simple, fast convergence, easy to implement, high quality of the solution and is an effective global search algorithm. Since the particle swarm optimization algorithm has been proposed, because of its simple operation, fast convergence, so it widely used in many fields of electrical, mechanical design, neural network optimization, communications, image processing. The discrete particle swarm algorithm to solve combinatorial optimization problem is also a hot spot. The research indicates that PSO is able to adapt to the state and network topology changes in wireless sensor network environment, so with idea of particle swarm optimization algorithm, introduce it into WSN routing algorithms to optimize clustering and routing choice, it can be a meaningful research to improving the network lifetime.This paper studies the current popular wireless sensor network routing algorithm and the good performance search strategies particle swarm optimization. Reference to the latest develop state of research at home and abroad and through the study of the characteristics of the WSN network routing, it analyzed the lack of major routing protocols and optimized its hierarchical clustering routing protocol use by the particle swarm optimization which is the current hot pot of search research.