The Studies On Wireless Sensor Network | Posted on:2009-06-07 | Degree:Doctor | Type:Dissertation | Country:China | Candidate:X H Zhang | Full Text:PDF | GTID:1118360272457317 | Subject:Light Industry Information Technology and Engineering | Abstract/Summary: | PDF Full Text Request | Wireless Sensor Network is a micro-electro-mechanical system integrated digital electronics sensor nodes equipped with data processing and communication capabilities. These sensor nodes are randomly located in an area self—organized to be a network, which is essentially a large scale, and resource limited distributed system. Wireless sensor network is very challenging due to several characteristics that distinguish them from contemporary communication and wireless networks. Wireless Sensor Network has been widely used especially for environment protection, such as in Tai Lake water protection.The main contents of this dissertation are following:(1) An introduction of the fundamental knowledge and development of wireless sensor network is presented in the first chapter. The feature and key technology of the network, along with its application and future direction, is also discussed. Chapter two begins with the analysis of related works on the routing protocol of wireless sensor networks, and thus is lay out by the summarization of the lately development of related technologies and works. The routing algorithms for the network are also analyzed in their principles and applications followed by the discussion of the QoS based routing protocol. Aiming at the application of the wireless sensor network in the lake environment monitoring, we set forth the related works on the routing maintenances and node location, and thus establish a simulation environment at the end of this chapter.(2)Routing protocol is the most important part in network protocols. For wireless sensor network, routing is more complex than other those in other networks, due to its dynamics and the demand of quality of service (QoS). In chapter three, the synthesis QoS metric is proposed which is the foundation of our proposed intelligent agent routing optimal optimization algorithm. For the purpose of using wireless sensor network in Taihu Lake protection project, a synthesis QoS metric is proposed. After the intelligent agent is designed for wireless sensor network routing, AC algorithm and PSO algorithm are used to optimize routing. With agent data structure and action detailed, a hybrid of Ant Colony algorithm and Particle Swarm Optimization (PSO) algorithm are proposed to improve the agent routing schema. Experiment results show that these intelligent routing algorithms are effective and able to meet the needs of QoS demand for wireless sensor network.(3)Route maintenance is a part in route protocol especially for wireless sensor network to cope with the varying network topology. The discovered path needs to be dynamically maintained for optimality in terms of a good QoS performance of wireless sensor network usage. The chapter four also gives a dynamic route maintenance method with random mobile agent (RMA) for mobile wireless sensor network routing with the feature of RMA employed. The scheme makes use of a RMA which travels through the network randomly, and collects some information as a travel record. This information contain effective route maintenance tip for routing path updates. Simulation results show that RMA help the routing protocol to notably increase some QoS metrics with improved route optimality.(4)Node location is one of the hotspots in the research area of wireless sensor network. Since different application system has different request on node location, there are no best optimized node location algorithms. Two typical distributed node location algorithms were analyzed in this paper firstly and the analysis results of location precision and energy consumption are given, and thus a modified node location algorithm (known as BB_RP algorithm) was drawn out. By simulating test, we made a performance comparison for between BB_RP algorithm and the primary algorithms in terms of node location precision and energy consumption. The simulation results show that the node location precision of BB_RP algorithm is a little lower than primary algorithms, but it achieves a great improvement in energy consumption and a prolonged lifetime of wireless sensor network. | Keywords/Search Tags: | wireless sensor network(WSN), Routing algorithm, Route maintenance, Quality of service (QoS), Ant Colony algorithm, Particle Swarm Optimization (PSO) algorithm, Intelligent Agent, Node location | PDF Full Text Request | Related items |
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