Genetic algorithm inspired energy efficient balanced clustering for sensor networks

Urgaya, Chere Lemma; Savarapu, Pradeep Raj

doi:10.1109/wispnet.2016.7566209

Cited by 2 publications

(1 citation statement)

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“…In [17], authors consider the uneven energy balancing and proposed a protocol for single hop scenario but it is not appropriate for current application scenarios. Apart from this, the nature-inspired algorithm also used for optimum next hop decision in multi-hop scenario [18]. However, this way of routing requires several rounds of transmission for converged decision of next-hop.…”

Section: Related Workmentioning

confidence: 99%

Energy and congestion aware routing based on hybrid gradient fields for wireless sensor networks

et al. 2020

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The principles of physics and system sciences are increasingly used in the field of network engineering to design network protocols. This work proposes an energy and congestion aware routing algorithm inheriting the concepts of potential field. It uses depth and time variant network parameters for forwarding the data packets through low congestion and energy balanced path. We defines a novel forward aware energy density as decision metric along with residual energy and queue-length for forwarding data packets. This results in network wide balanced residual energy and enhanced network lifetime. The proposed mechanism is evaluated for the transmission rounds before the first dead node (FDN) is detected. It was found that in typical traffic conditions there was an average increment of 45% transmission rounds till the FDN appeared. Moreover, the simulated and theoretical findings are compared using statistical measures to justify the proposed mechanism energy and congestion awareness.

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Section: Related Workmentioning

confidence: 99%