Architecture And Management Of Sensor Network

Recent advances in micro-electro-mechanical systems (MEMS) technology, wireless communications, and digital electronics have enabled the development of low-cost, low-power, multifunctional sensor nodes that are small in size and communicate untethered in short distances. These tiny sensor nodes, which consist of sensing, data processing, and communicating components, leverage the idea of sensor networks based on collaborative effort of a large number of nodes.Sensor networks represent a significant improvement over traditional sensors. A sensor network is composed of a large number of sensor nodes, which are densely deployed either inside the phenomenon or very close to it. Wireless sensor network is a novel technology in information technologies and has a wide application future.Because of the particular characteristics and limit, we must design a new Self-configuration and self-healing network for wireless sensor network. This paper analyses the characteristics and requirement of self-configuration and self-healing wireless sensor networks, then discusses several key issues. As a hotspot, its research relate to many fields.A new passive-clustering-based protocol for wireless sensor network (EEPC) is presented in this paper. Compared to traditional wireless sensor network protocols, this protocol performs well on scalability and tolerance. It can make seamless connection between mobile motes and the whole network. Furthermore, network decomposition into connected clusters is a key process in self-organization of wireless sensor networks. A novel approach for message-efficient clustering is present. Two algorithms that make use of this approach are provided. The algorithms produce clusters of bounded size and low diameter, using significantly fewer messages than the earlier, commonly used Expanding Ring approach. An archetype of sensor network is provided at last.In summary, our clustering algorithms and network protocol can be applied to achieve self-configuration of large wireless sensor networks, and other networks. Based on a survey of related work, we believe our work is unique in its focus on distributed clustering algorithms that achieve message efficiency as well as a bounded cluster size. Along with the current research projects, we encourage more insight into the problems and more development in solutions to the open research issues as described in the paper.