An Adaptive Multipath Routing Method Based on Improved GA and Information Entropy

Liu, Jianhang; Meng, Xu; Li, Shibao; Cui, Xuerong; Wu, Haibo

doi:10.1109/jsen.2022.3212275

Cited by 7 publications

(2 citation statements)

References 31 publications

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“…In this section, we conduct a comparative analysis of the EMRAR algorithm against three other algorithms: CADC proposed in [ 15 ], AMRBEC proposed in [ 29 ], and IQMRP proposed in [ 35 ]. Figure 5 presents a performance comparison of these four algorithms in terms of AAL, PDR, and NRE under different data transmission rates with a fixed ∆ value of 3% and an adjacent node density of 20.…”

Section: Discussionmentioning

confidence: 99%

“…[ 28 ] allocates reserved disjointed multipath to different data types according to the QoS capabilities of different paths, ensuring high delivery rates for integrity-sensitive data and low latency for delay-sensitive data. To mitigate energy consumption and prolong the lifetime, an adaptive multipath routing scheme based on balanced energy consumption is proposed in the literature [ 29 ]. This approach jointly considers the path energy, distance, hops, and the lowest energy node, dynamically adjusting the amount of data transmission among multiple paths according to the change in energy information entropy of each path.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

An Accuracy-Aware Energy-Efficient Multipath Routing Algorithm for WSNs

Dan,

Ma,

Yin

et al. 2024

Sensors

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In the fields of industrial production or safety monitoring, wireless sensor networks are often content with unreliable and time-varying channels that are susceptible to interference. Consequently, ensuring both transmission reliability and data accuracy has garnered substantial attention in recent years. Although multipath routing-based schemes can provide transmission reliability for wireless sensor networks, achieving high data accuracy simultaneously remains challenging. To address this issue, an Energy-efficient Multipath Routing algorithm balancing data Accuracy and transmission Reliability (EMRAR) is proposed to balance the reliability and accuracy of data transmission. The multipath routing problem is formulated into a multi-objective programming problem aimed at optimizing both reliability and power consumption while adhering to data accuracy constraints. To obtain the solution of the multi-objective programming, an adaptive artificial immune algorithm is employed, in which the antibody initialization method, antibody incentive calculation method, and immune operation are improved, especially for the multipath routing scheme. Simulation results show that the EMRAR algorithm effectively balances data accuracy and transmission reliability while also saving energy when compared to existing algorithms.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%