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Energy Perception For Low Power Routing Algorithm In Wireless Sensor Networks

Posted on:2008-01-05Degree:MasterType:Thesis
Country:ChinaCandidate:Z H ZhouFull Text:PDF
GTID:2178360272968206Subject:Computer software and theory
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With the development of the microprocessor (MPU), wireless communication technology, Micro-Electro-Mechanical Systems and the appearance of"Ubiquitous computing", sensor network as a new type of data collection technology means, will have infinitely bright application prospect in the future. At present, many correlative technology problems of sensor network are still located in an exploration stage, such as embedded operation system for sensor network, network protocol design, energy management, data-fusion and network security etc. Only is effective solution faced by these technical problems got, the sensor network can have the opportunity to apply indeed to military affairs, medical treatment, business, education, environment monitor and so on. So it will exert a potential enormous value and be transformed into productivity in deed.Wireless sensor network has its own characteristics: node energy is limited, the requirement of the energy conservation is high, the ability of the calculation and storage is limited, and the algorithm must be simply and efficient; the data gathering and processing is the core function of systems etc. Therefore, according to wireless sensor networks'characteristics and uses, developing the special communication protocols is an urgent study task in the field of the wireless sensor network.First the concept of the wireless sensor network, system structure, features and sensor node limitation are introduced simply. The design of network framework in the tiny operating system ARTs-SNOS supporting wireless networked sensor is also presented. ARTs-SNOS uses the energy perception routing protocol and a new routing algorithm ARTs-SNOS EPLR, which is based on EPLR(Energy Perception Low Power) and combines with the concept of the Steiner Tree. The algorithm adopts the destination-driven shortest path (DDSP) technology with perception energy property and can improve the path search performance. In this technology a network topology can be built by fast constructing the least path tree. It makes the data transmission effective. The simulation experiment result indicates that EPLP is effective, simple, accurate, and strong and has low complexity. More importantly, it can maximize the network life cycle by using the energy efficiently.
Keywords/Search Tags:Sensor Network, Routing Algorithm, Shortest Path Tree, Energy Perception
PDF Full Text Request
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