Improving Lifetime in Maximum Residual Energy Routing With Increased Transmission Distance and Retransmission

Zhang, L.; Lim, Alvin

doi:10.1109/icccas.2006.284719

Cited by 1 publication

(1 citation statement)

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“…It is one of the primary design objectives of WSNs to save and equalize the used energy and maximize the network survival time [29,30]. Important works from the literature, including the above-listed algorithms [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28], provide some referential solutions. However, in a WSN, information congestion may occur when many sensors send data concurrently.…”

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confidence: 99%

Multiparameter Fusion Decision Routing Algorithm for Energy-Constrained Wireless Sensor Networks

Yan

Cai

et al. 2020

Applied Sciences

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For energy-limited wireless sensor networks (WSNs), we propose a multiparameter fusion decision routing (MPFDR) algorithm in this study. This algorithm gives a comprehensive account of the residual energy and forward distance, single-hop transmission ratio, cache queue, and energy equilibrium degree. It calculates the routing evaluation parameters of the forward neighbors, realizing a multidirectional reflection of the network status. Simultaneously, combined with the defined routing selection strategy based on the parameter contribution degree and fuzzy contribution degree, the fusion contribution degree of each forward neighbor is obtained. Then, the node with the most considerable fusion contribution degree is selected as the next hop. Finally, the performance of the MPFDR algorithm is simulated and compared with other algorithms. Simulation results indicate that our algorithm has good congestion control ability in energy-limited wireless sensor networks and can significantly reduce the packet loss rate and average hops.

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