2018
DOI: 10.1049/iet-wss.2017.0056
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Improving the energy efficiency for the WBSN bottleneck zone based on random linear network coding

Abstract: The reduction of energy consumption and the successful delivery of data are important for a wireless body sensor network (WBSN). Many studies have been performed to improve energy efficiency, but most of them have not focused on the biosensor nodes in the WBSN bottleneck zone. Energy consumption is a critical issue in WBSNs, as the nodes that are placed next to the sink node consume more energy. All biomedical packets are aggregated through these nodes forming a bottleneck zone. This study proposes a novel mat… Show more

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Cited by 8 publications
(6 citation statements)
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“…where h NC i is the channel coefficient between the network coding node and the coordinator node, P NC < P H is the network coding node power level used, and c NC i is the cost of using this strategy since it adds more delay. Furthermore, we set c NCi ¼ c di ρ ρ ∈ [0, 1] is a factor that reflects the added benefits from using the network coding by the added robustness to the transmission link that is reflected by increasing the numerator of the signal to the interference plus noise power ratio (SINR) in Equation ( 3) but with the cost of increased delay and processing that is reflected by the last term of Equation (3). Based on the equations given in Equations ( 1)- (3), each WBAN has to solve the following optimisation problem.…”
Section: Deriving Players Utilitiesmentioning
confidence: 99%
See 2 more Smart Citations
“…where h NC i is the channel coefficient between the network coding node and the coordinator node, P NC < P H is the network coding node power level used, and c NC i is the cost of using this strategy since it adds more delay. Furthermore, we set c NCi ¼ c di ρ ρ ∈ [0, 1] is a factor that reflects the added benefits from using the network coding by the added robustness to the transmission link that is reflected by increasing the numerator of the signal to the interference plus noise power ratio (SINR) in Equation ( 3) but with the cost of increased delay and processing that is reflected by the last term of Equation (3). Based on the equations given in Equations ( 1)- (3), each WBAN has to solve the following optimisation problem.…”
Section: Deriving Players Utilitiesmentioning
confidence: 99%
“…is defined in Equations ( 1)- (3). In other words, players have the same interest in optimising a collective utility function known as the potential function.…”
Section: Potential Game Formulationmentioning
confidence: 99%
See 1 more Smart Citation
“…Coding-Aware Routing. In addition to relieving network congestion, network coding technology also has a great effect on reducing network energy consumption [15] and prolonging network life [16]. Thus, it has been used in routing protocols.…”
Section: 2mentioning
confidence: 99%
“…Network coding can transmit data by minimizing the packet retransmission times and thus accumulating existing bandwidth. In various network studies, this coding is been used because of several advantages such as assuring safety as well as reliability for the transmission of data and thereby enhancing the application of network resources (Xu et al , 2018; Alshaheen and Rizk, 2018; Khan and Chatzigeorgiou, 2018). Even though the PU operation has a significant impact on SU processing time, implementing the technology of network coding with a CRN will considerably enhance the spectrum usage by minimizing SU transmission times.…”
Section: Introductionmentioning
confidence: 99%