A Review Paper On Energy-Efficient Cooperative Communication in a Clustered Wireless Sensor Network
Keywords:
Wireless sensor network, compressive sensing, data collection, clustering.Abstract
The wide utilization of Wireless Sensor Networks (WSNs) is obstructed by the severely limited energy constraints of the individual sensor nodes. This is the reason why a large part of the research in WSNs focuses on the development of energy efficient routing protocols. Recent technological advances in communications and computation have enabled the development of low-cost, low-power, small in size, and multifunctional sensor nodes in a wireless sensor network. Since the radio transmission and reception consumes a lot of energy, one of the important issues in wireless sensor network is the inherent limited battery power within network sensor nodes. Compressive Sensing (detecting) can reduce the quantity of information transmissions and parity the activity load all through systems. The crossover strategy for utilizing Compressive Sensing (CS) was proposed to diminish the quantity of transmissions in sensor systems. On the other hand, the past works utilize the CS technique on directing trees. In this paper, we propose a grouping strategy that uses half and half CS for sensor systems. The sensor hubs are sorted out into groups. Inside of a bunch, hubs transmit information to group head (CH) without utilizing CS. CHs use CS to transmit information to sink. We first propose a logical model that studies the relationship between the extent of groups and number of transmissions in the half and half CS strategy, pointing at discovering the ideal size of bunches that can prompt least number of transmissions. At that point, we propose a brought together grouping calculation taking into account the outcomes got from the scientific model. At long last, we exhibit a dispersed execution of the bunching strategy. Broad recreations affirm that our technique can decrease the quantity of transmissions altogether.
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This work is licensed under a Creative Commons Attribution 4.0 International License.
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