Abstract
We propose a novel cluster based distributed routing algorithm in a generalized form for heterogeneous wireless sensor networks. Heterogeneity with respect to number/types of communication interfaces, their data rates and that with respect to energy dissipation model have been exploited for energy and throughput efficiency. The algorithm makes routing assignment optimized for throughput and energy and has a complexity of N/K*logN+k2logk approximately, where N is the number of nodes and k is the number of kcluster heads. Performance experiments confirm the effectiveness of throughput and energy optimizations. The importance of choosing an optimal cluster radius has been shown. The energy consumption in the network scales up well with respect to the network size.
Highlights
A cluster based energy and throughput optimized routing algorithm for heterogeneous wireless sensor networks has been proposed here
We propose a novel cluster based distributed routing algorithm in a generalized form for heterogeneous wireless sensor networks
The algorithm makes routing assignment optimized for throughput and energy and has a complexity of N * log N k 2 log k approximately, where N is the number of nodes and k is the number of k cluster heads
Summary
A cluster based energy and throughput optimized routing algorithm for heterogeneous wireless sensor networks has been proposed here. Nodes in the network might be equipped with multiple radio/interfaces with diverse data rates. A value for cluster radius is computed for optimal energy consumption. The LP combines both throughput and energy optimization factors in the objective function. With this route and Cluster assignments, nodes operate for a number of cycles or rounds before clusters are reformed and routes are re-assigned. The entire algorithm is distributed and the complexity of route computation scales up well with network size. The results show that the energy optimizations and throughput optimizations perform well in optimizing their respective objectives. The energy consumption in the network scales up well with respect to the network size
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