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Research On Energy Consumption Balance Routing And Non-line Of Sight Mobile Node Localization For Wireless Sensor Network

Posted on:2014-06-05Degree:DoctorType:Dissertation
Country:ChinaCandidate:Y WangFull Text:PDF
GTID:1108330482955709Subject:Navigation, guidance and control
Abstract/Summary:PDF Full Text Request
Wireless sensor network integrates with sensor technology, micro-electromechanical technology, embedded computing and wireless communication technology. It can be applied to detect, sense, collect and process the information of monitored objects or environments in the real time and transmit the signal back to the users. Wireless sensor network has a wide application in the future, such as in the national defense, environment detection, medical treatment and so on. It will have a profound effect on many field of human life. The energy consumption balance routing protocol and mobile node localization technology in NLOS (Non-line of Sight) environment are the key research contents of wireless sensor network. In this dissertation, these two technologies are systemically researched. The major research contents and productions are shown in the following areas:The factors of node energy consumption and node energy consumption model are analyzed and established respectively. An energy consumption balance routing algorithm is proposed since the data gathering system for wireless sensor network is easy to form the network hole. This algorithm firstly divides the circle network into many rings, and then energy balance formulation is employed to determine the number of nodes in each ring. Energy balance achieves among rings by selecting the number of nodes reasonable. Finally energy balance routing algorithm is proposed to achieve energy consumption balance in each ring. The proposed algorithm prolongs the lifetime of network.Considering the effects of node position error in geographic routing, an energy consumption balance geographic routing algorithm with location error is proposed. According to the expected distance, expected angle between the source node and candidate nodes and residual energy establish the objective function. Then the principal component analysis is used to compute the weighting factor of the three elements. The candidate node which owns the maximum value of the objective function is selected as the next hop node. This algorithm could guarantee the network energy consumption balance and enhance the rate of data success transmission.The impacts of NLOS error on mobile node localization are analyzed. To solve these impacts, this dissertation proposes a NLOS localization algorithm based on priori knowledge of error. The algorithm firstly identifies whether the measurements contain the NLOS error according to the prior knowledge of LOS (Line of Sight) and NLOS error. If the measurements contain the NLOS error, the correct action is executed by number ratio. Finally, the corrected measurements are used to estimate the location of mobile node. This algorithm mitigates the NLOS error and significantly improves the localization accuracy.The filtering method is introduced into the mobile node localization. A NLOS localization algorithm based on parallel Kalman filter is proposed. The measurements input into the Kalman filters based on LOS and NLOS errors prior knowledge respectively. Then the weighting factors of the output values from two Kalman filters are computed by the Markov switching models. The output values are combined through the linear weighting to correct the measurements. Finally the location of mobile node is estimated according to the corrected measurements. This algorithm effectively retains the NLOS error and improves the localization accuracy.A non-paramedical NLOS localization algorithm is proposed because of the NLOS error is hard to obtain. The initial location of mobile node is estimated through the maximum estimation method. The LOS measurements are identified based on the residual between the initial estimated location and the position of beacon nodes. The identified LOS measurements are used to estimate the location of mobile node. This algorithm need not obtain the parameters of NLOS error beforehand and it accomplishes the restriction of NLOS error.This dissertation systematically researches the energy consumption balance routing protocol and NLOS mobile node localization technology for wireless sensor network. In comparison with other methods through the simulation experiments, the proposed algorithms are verified to be feasible, available and advanced.
Keywords/Search Tags:wireless sensor network, routing, energy consumption balance, mobile node localization, non-line of sight error
PDF Full Text Request
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