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This paper deals with the effect of mesh and cluster-tree topologies (that are defined in 802.15.4/Zigbee or 802.15.4a standards) in the performance of cooperative and range-based localization algorithms. In this type of localization at least three reference or anchor nodes within range are needed for location estimation (two dimensions). Therefore the successful localization depends on the connectivity...
In this paper the self-localization problem for sensor networks is addressed. Given a set of nodes deployed in an environment, self-localization consists of finding out the location of all nodes in regard to any topology or metric of interest. Nodes are assumed to be equipped with a sensor board able to provide these inter-node distances. In addition, a few nodes are assumed to be equipped with some...
We present a localized algorithm (LTCA) for topology control in wireless sensor networks which has certain desirable properties. First, the algorithm is very simple, strictly local (requires 1-hop information of neighbors) and fast, requiring each node to communicate with its neighbors exactly twice. Second, LTCA does not assume the underlying graph to be a unit disk graph, and in fact works on general...
In this paper, we propose a new approach to sensor localization problems, based on recent developments in machine leaning. The main idea behind it is to consider a matrix regression method between the ranging matrix and the matrix of inner products between positions of sensors, in order to complete the latter. Once we have learnt this regression from information between sensors of known positions...
In wireless sensor networks, filters, which suppress data update reports within predefined error bounds, effectively reduce the traffic volume for continuous data collection. All prior filter designs, however, are stationary in the sense that each filter is attached to a specific sensor node and remains stationary over its lifetime. In this paper, we propose mobile filter, a novel design that explores...
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