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Research On Lifetime Extension Strategy In Wireless Sensor Networks

Posted on:2012-10-11Degree:MasterType:Thesis
Country:ChinaCandidate:S LiFull Text:PDF
GTID:2178330332987351Subject:Applied Mathematics
Abstract/Summary:PDF Full Text Request
In recent years, sensor networks, which integrate sensor technology, mi-cro-processing technology, embedded system and wireless communication technology have developed rapidly, and are widely used in military, traffic, environmental and production, etc.. Due to energy and computing power restriction of a single sensor node in Wireless Sensor Networks (WSN), the detection range and the accuracy of the data collected are limited. Therefore, when deploying the network, it is necessary to achieve higher cover density to ensure the robustness of the whole network and accu-racy of monitoring information, whereas leading to data redundancy between adjacent nodes, and increasing the network's load. Accordingly, we have accomplished the fol-lowing work.First of all, this paper summarizes the lifetime definitions of WSN, which pro-vided in different problems research background, and analyzes its advantages and dis-advantages. According to the structure and characteristics of WSN, the influence fac-tors of energy consumption are analyzed. We also summarize the energy-saving strate-gies which laid a theoretical foundation for the future research work of developing the lifetime of WSN. In addition, we select some classical routing protocols, analyze the characteristics, advantages and disadvantages of their core routing mechanisms.Secondly, to resolve the problems of data redundancy and energy wastage in high-density environments, a Minimum Steiner Tree algorithm based on Grid(GMST) is presented in this paper. First, the detected region is evenly divided into many virtual grids and then nodes with largest residual energy are selected from each of grids as the activation. The data sent by the source node is transmitted to the data aggregation tree firstly which is constructed by the activated nodes and then is retransmitted to the sink node after aggregation by multiple hops communication manner. Simulation results show that the new algorithm prolongs the network's lifetime by balancing the energy consumption of each node and saving the total energy consumption of the network. This algorithm shows superior performance and good adaptability in high-density en-vironment.
Keywords/Search Tags:Wireless Sensor Network, lifetime, energy-saving routing, data aggregation, dormancy mechanism
PDF Full Text Request
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