Energy Efficient Clustering Of Wireless Sensor Networks - amazonia.fiocruz.br

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Load-balanced energy efficient clustering protocol for wireless sensor networks in MATLAB

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Wireless sensor network is comprised of some sensors. These sensors collect data from the external environment and communicate the information to the dedicated device. Energy efficiency of the wireless sensor network is a critical challenge as battery replacement is not possible in some applications like underwater surveillance, Forest surveillance, Habitat monitoring, etc. Clustering plays an important role to achieve energy efficiency.

Clusters are made up some sensors with one node as cluster head among them that is responsible for aggregation and Enery of information. Cluster heads that are placed near to base station have much workload which results in continuous energy drainage at cluster head. Due to this, all nearby cluster heads become dead early.

If selection of node as a cluster head and its relocation is based on the residual energy https://amazonia.fiocruz.br/scdp/essay/is-lafayette-a-hidden-ivy/the-inclination-to-violence-stems-from-several.php nodes, then it results in to prolong the lifetime of cluster heads.

Another issue is Senspr when sensor nodes are not transmitting any data, still dissipate some amount of energy on idle listening.

No more untied shoes

Scheduling of nodes using sleep and wake up approach can be used to increase the lifetime of the network. This paper described a review of energy efficient protocols of wireless sensor network. This is a preview of subscription content, access via your institution. Rent this article via DeepDyve.

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Senouci, A. Google Scholar. Karl, A. Heinzelman, A. Chandrakasan, H. Balakrishnan, Energy-efficient communication protocol for wireless microsensor networks. IEEE Bhatt, V. Pareek, Lifetime enhancement of wireless sensor networks using fermat point and data aggregation mechanism. Springer, New Delhi Balakrishnan, An application-specific protocol architecture for wireless microsensor networks. Chen, Wirreless. Hong, J. Kook, S. Lee, D. Kwon, S. Inf Syst Front 11 5 Wang, Q.]