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Network scalability and energy efficiency in wireless sensor networks should be supported by elaborate topology control. Clustering algorithms are useful topology management approach to reduce communication overhead and exploit data aggregation in wireless sensor networks. A clustering algorithm based on cell combination is presented in the paper for the networks where sensor nodes are distributed...
Sensor-network technology is indispensable for constructing ubiquitous network infrastructures. Although information about adjacent relations between sensors is also very important for sensor networks, obtaining this information automatically without manual assistance is extremely difficult. Consequently, we propose a new methodology for constructing adjacent relations in sensor networks using an...
Mobile agents (MAs) have been initially developed to replace the client/server model which shows many disadvantages in WSN environments (e.g. very high bandwidth and energy utilization). Herein, we present CBID (Clone-Based Itinerary Design), a novel algorithm that calculates near-optimal routes for MAs that incrementally fuse the data as they visit the nodes while enabling a fast update of designed...
The design of sensor networks capable of reaching a consensus on a globally optimal decision test, without the need for a fusion center, is a problem that has received considerable attention in the last years. Many consensus algorithms have been proposed, with convergence conditions depending on the graph describing the interaction among the nodes. In most works, the graph is undirected and there...
In this paper, we discuss a local message passing algorithm for collaboratively training networks of kernel-linear least-squares regression estimators. The algorithm is constructed to solve a relaxation of the classical centralized kernel- linear least-squares regression problem. A statistical analysis shows that the generalization error afforded agents by the collaborative training algorithm can...
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