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This paper presents a framework for ZigBee indoor positioning with an ensemble approach. This approach exploits the complementary advantages of various algorithms, weights the estimation results, and combines them to improve accuracy. This is achieved by dynamically analyzing the diverse patterns of inputs and combining base positioning algorithms with spatial dependent weights. The experiments were...
Accurately determining the location of mobile wireless sensor nodes in real-time is essential for many purposes. This paper proposes a new and efficient algorithm for localization of mobile node(s) within a WSN. The proposed algorithm, called iterative CCA-MAP (iCCA-MAP), is based on the CCA-MAP algorithm which applies an efficient nonlinear data mapping technique. The latter has been shown to perform...
In this paper we develop a simple yet effective heuristic algorithm to estimate the location of a sensor node in wireless sensor networks. Our method utilizes a simple and inexpensive received signal strength (RSS) measurement at a node to maximize the maximum likelihood (ML) function in a localization problem. We show via numerical results that the location estimations obtained from the new method...
Aimed at developing an effective approach to future sensor networks, we proposed for the first time the tiered mobile network architecture and triangle-grid model, studied the problem of wireless sensor network security detection and the nodes movement control policy. Based on the model, we proposed an immune intrusion detection schema and a dynamic two-anchor nodes localization algorithm with classified...
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