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A recent approach for data fusion in wireless sensor networks involves the use of mobile agents that selectively visit the sensors and incrementally fuse the data, thereby eliminating the unnecessary transmission of irrelevant or non-critical data. The order of sensors visited along the route determines the quality of the fused data and the communication cost. The computation of mobile agent routes...
In wireless sensor networks, proposed an energy efficient routing strategy based on ant colony algorithm. The algorithm combined residual energy of nodes, and accorded to transition probability to choose the next node. When ants passed a node, updated the path list and node information table .Through the node information table, nodes in the network are divided into ordinary nodes and aggregation nodes,...
The problem of computing a route for a mobile agent to local regions or specified nodes in a distributed sensor network is considered, both in a single region or multi-region cases. With all specified nodes visited, this paper formulates the route computation problem in terms of minimizing an objective function, which is directly proportional to the energy consumption and path loss. Further, we propose...
In wireless sensor networks, data fusion (in-network processing) is a critical issue because sensor networks are energy-constrained and bandwidth-constrained. Recently, a new scheme based on mobile agent has been proposed to solve the problem. The order and number of nodes on the route traversed by a mobile agent determine the energy consumption and hence, have a significant impact on the overall...
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