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Data aggregation in wireless sensor networks
eliminates redundancy to improve bandwidth utilization
and energy-efficiency of sensor nodes. One node, called
the cluster leader, collects data from surrounding nodes
and then sends the summarized information to upstream
nodes. In this paper, we propose an algorithm to select
a cluster leader that will perform data aggregation in a
partially connected sensor network. The algorithm reduces
the traffic flow inside the network by adaptively selecting the
shortest route for packet routing to the cluster leader. We
also describe a simulation framework for functional analysis
of WSN applications taking our proposed algorithm as an
example
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