2019
DOI: 10.3390/s19153275
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TAEO-A Thermal Aware & Energy Optimized Routing Protocol for Wireless Body Area Networks

Abstract: Wireless Body Area Networks (WBANs) are in the spotlight of researchers and engineering industries due to many applications. Remote health monitoring for general as well as military purposes where tiny sensors are attached or implanted inside the skin of the body to sense the required attribute is particularly prominent. To seamlessly accomplish this procedure, there are various challenges, out of which temperature control to reduce thermal effects and optimum power consumption to reduce energy wastage are pla… Show more

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Cited by 28 publications
(26 citation statements)
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“…The performance of the proposed EOCC-TARA is compared with the existing routing algorithms, namely E-OCER [22], TAEO [24], and PCAR [29] to estimate the superiority of the proposed algorithm for SDN-based WBAN in terms of energy, temperature, and congestion control aspects. The performance metrics used are energy consumption, network lifetime, throughput, temperature control, congestion overhead, delay, and successful transmission rate.…”
Section: Resultsmentioning
confidence: 99%
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“…The performance of the proposed EOCC-TARA is compared with the existing routing algorithms, namely E-OCER [22], TAEO [24], and PCAR [29] to estimate the superiority of the proposed algorithm for SDN-based WBAN in terms of energy, temperature, and congestion control aspects. The performance metrics used are energy consumption, network lifetime, throughput, temperature control, congestion overhead, delay, and successful transmission rate.…”
Section: Resultsmentioning
confidence: 99%
“…The comparison is to analyze the superiority or inferiority of the proposed approach for the routing in WBAN. Figures 9, 10, 11, and 12 visualize the hop count, queue length, packet delivery ratio, and delay comparisons, respectively, of the proposed EOCC-TARA with the existing E-OCER [22], TAEO [24], and PCAR [29]. It can be seen from the figures that the proposed EOCC-TARA has outperformed the other models with improved performance.…”
Section: B Performance Comparison Of Eocc-tara With Other Modelsmentioning
confidence: 96%
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