2017 3rd International Conference on Computational Intelligence &Amp; Communication Technology (CICT) 2017
DOI: 10.1109/ciact.2017.7977373
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Comparative analysis of energy efficient routing in WBAN

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Cited by 23 publications
(15 citation statements)
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“…At present, the research on routing protocols for WBAN is mainly divided into the following methods [14,15], and this paper refers to the classification method presented by Bangash et al [14], (as shown in Figure 3) posture-based routing, temperature-based routing, cross-layer routing, QoS-based routing, and cluster-based routing.…”
Section: Classification Of Routing Protocols For Wbanmentioning
confidence: 99%
“…At present, the research on routing protocols for WBAN is mainly divided into the following methods [14,15], and this paper refers to the classification method presented by Bangash et al [14], (as shown in Figure 3) posture-based routing, temperature-based routing, cross-layer routing, QoS-based routing, and cluster-based routing.…”
Section: Classification Of Routing Protocols For Wbanmentioning
confidence: 99%
“…These protocols focus on QoS parameters such as high reliability, lower end to end delay and more packets to be delivered -regardless of temperature sensitivity-and these are the main requirements of medical systems for which WBANs are designed for [1].…”
Section: Classifications Of Wbans Routing Protocols 21 Qos Aware Routmentioning
confidence: 99%
“…This family is concerned with the problem of the interruption of paths between the nodes that are caused by the movement of the body or the sitting posture. This problem is solved by defining of a cost function, which is updated periodically [1].…”
Section: Postural Movement Based Routing Protocolsmentioning
confidence: 99%
“…The variant attempt has been made by the researchers in this domain but with having different perspectives. As in [2], the authors developed Adaptive Threshold-unaware Energy efficient Multi-hop Protocol (NEW-ATTEMPT) mechanism for energy efficient routing. This traditional protocol proposed in this method uses a heterogeneous sensor network in the human body.…”
Section: Introductionmentioning
confidence: 99%