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On Utilizing Static Courier Nodes to Achieve Energy Efficiency with Depth Based Routing for Underwater Wireless Sensor Networks
Under water sensor networks(UWSNs) have attracted significantly to explore natural and undersea resources and gathering scientific data in aqueous conditions. The adverse characteristics in UWSNs communication and high cost limit the sensor nodes to spare deployment, causing delay, low propagation,...
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Main Authors: | , , , , , , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
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Summary: | Under water sensor networks(UWSNs) have attracted significantly to explore natural and undersea resources and gathering scientific data in aqueous conditions. The adverse characteristics in UWSNs communication and high cost limit the sensor nodes to spare deployment, causing delay, low propagation, power efficiency and floating node mobility. This proposed protocol is developed to handle these problems in under water sensor networks, two static sinks and four courier nodes are used to perform routing. Sensor nodes select their appropriate nearby static courier node to forward their data towards destination. Courier nodes have maximum energy, as compare to sensor nodes causing to enhance the network life time and provide equal distribution of energy consumption resulting to provide maximum throughput and stability of the network. Network field is hundred by hundred and providing maximum rounds through which we can closely over view the network life time, energy efficiency and throughput. Simulation results show maximum packet delivery per round. Courier nodes have maximum energy so the maximum routing will be performed by the courier nodes and sensor nodes will only sense their data and forward it to courier nodes causing to minimize the destabilization period of the network. Simulation results provide maximum throughput, minimum dead versus alive nodes and equal energy consumption per round. |
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ISSN: | 1550-445X 2332-5658 |
DOI: | 10.1109/AINA.2016.170 |