Based Wireless Sensor Network Energy Effective Passive Clustering Mode

Wireless sensor networks(WSN), which is made by the convergence of sensor, nested computation, networks and wireless communication technologies, is a novel technology about acquiring and processing information. It is a late-model wireless network of infrastructure less network and can be used for testing, sensing, collecting and processing information of monitored object. WSN is a new research area of computer science and technology and has a wide application future. Both academia and industries are very interested in it.First, we give a summary of wireless sensor network; and analyze and compare some routing protocols in the network layer that satisfying the features of WSN, such as limited communication ability, limited resources and mobile network etc, taking for passive clustering(PC) as an appropriate method. With passive clustering, we reduce the communication overload and time overload. By monitoring user MAC packets, which piggyback cluster information, we can build "soft state" cluster for mobile wireless network. Without any dependency on the routing protocol, the cluster infrastructure can be constructed as a by-product of user traffic.Based on analyzing the energy model of WSN, a new hierarchical distributed energy efficient passive clustering scheme (EEPCS) is proposed as a new load balancing approach where small delays are introduced to allow distributed responsibility delegation. EEPCS applies "delayed intelligence" for "first declaration wins" of passive clustering to select cluster head, which not only makes the larger residual energy cluster head, but also produce fewer cluster.For selecting gateway, a new energy efficient selective gateway mechanism (EESGM) is proposed. EESGM not only uses the gateway selection heuristic to limit the number of gateway node, but also designs a dynamic energy threshold that guaranteeing the higher the residual energy in a node, the higher the probability that node will respond first and link clusterheads together. For congestion and collision, applying the number of clusterheads that a node monitors and energy cost of a node, makes a balance between the number of communication and saving energy. For QUASI_GATEWAY nodes, which don't wins gateway because of congestion and collision, we use "delayed intelligence" to do a small delay, and then join in selecting gateway again.In the last we have a summary on the thesis, and by simulation on the NS2, we...