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- W289327127 abstract "Wireless sensor networks play an important role in monitoring and collecting data from difficult geographical terrains. They find useful applications in various fields ranging from environmental monitoring to monitoring parameters within patients in hospitals. Constraints such as limited battery life and less processing capability of the sensors make the routing of WSNs a tedious and challenging task. A great emphasis is laid on the development of alternate sources of power and energy efficient routing protocol to maximize network life. This paper proposes clustering and shortest path based straight forward routing for solar powered wireless sensor networks. For clustering k-means clustering algorithm is proposed. A feedforward neural network based shortest path routing is proposed for routing within clusters. The simulation results show that the proposed neural networks provide quick solutions for route calculation comparing to other existing neural networks." @default.
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- W289327127 date "2011-01-01" @default.
- W289327127 modified "2023-10-03" @default.
- W289327127 title "Feedforward networks based straightforward hierarchical routing in solar powered wireless sensor networks" @default.
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