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• W2186047516 abstract "A wireless sensor network consists of sensor nodes to monitor the physical and environmental conditions. In certain applications like habitat monitoring, where sensor nodes are randomly deployed in manually inaccessible environment that operates with a limited battery power. This battery constraint reduces the network lifetime. The sensor nodes consist of a micro-processor for sensing, computation and communication purposes. The node processor consumes more energy when operated at higher speeds. Varying the processor speed (by adjusting the processor speed and voltage through operating system) improves energy efficiency but reduces the performance of the processor. Hence a proper trade-off is required between energy efficiency and performance. In order to achieve this, here proposed is an Energyefficient Sub-clustering with Optimized Processor Speed (ESOPS) algorithm. This algorithm is simulated in Omnett++ 4.0 and parameters like energy gain, energy loss, performance gain and performance loss of the system under different processor voltage and processor speed are measured and analysed." @default.
• W2186047516 created "2016-06-24" @default.
• W2186047516 creator A5063438897 @default.
• W2186047516 creator A5067050797 @default.
• W2186047516 date "2014-01-01" @default.
• W2186047516 modified "2023-09-27" @default.
• W2186047516 title "ENERGY-EFFICIENT SUB-CLUSTERING WITH OPTIMIZED PROCESSOR SPEED (ESOPS) IN WIRELESS SENSOR NETWORKS" @default.
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