A Dynamic Weights Algorithm on Information and Energy Transmission Protocol Based on WBAN

He, Mingming; Hu, Fengye; Ling, Zhuang; Mao, Zhi; Huang, Ziqiu

doi:10.1109/tvt.2021.3053964

Cited by 11 publications

(4 citation statements)

References 30 publications

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“…To improve the network performances of a network which contains only one source and one destination with multiple relays, a relay selection scheme is proposed in [29]; the proper relay can be chosen based to the status of the relays. A WBAN consisting of n sensors, a destination and a relay node, is considered in [30]; weights of sensors are considered when designing the network protocol. In these networks, dedicated relays need to be deployed to improve network performance, which increases the size and complexity of the network.…”

Section: Related Workmentioning

confidence: 99%

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A Cooperative Transmission Scheme in Radio Frequency Energy-Harvesting WBANs

et al. 2023

Sustainability

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Wireless Body Area Network (WBAN) plays an important role in e-health, sports training, and entertainment to monitor human bodies wirelessly and remotely. One critical challenge for WBAN is to guarantee the quality of user experience and improve the network performance within such a resource-constrained and dynamic network. In the proposed paper, we investigate a cooperative radio frequency energy harvesting-based WBAN. Herein, we primarily focus on improving the energy efficiency and network performance through intelligent cooperation among nodes, allowing sensors with sufficient energy to assist other sensors in data uploading. We propose a relay selection method that considers both energy demand and energy harvest efficiency. Each sensor calculates the transmission power threshold required for data uploading based on the perceived channel state and determines whether it can act as a potential relay node in conjunction with its own energy harvest efficiency. The coordinator is responsible for optimizing collaborative transmission plans based on real-time network status. Experimental results show that the cooperative scheme performs better than the common single-hop scheme in terms of packet reception rate and packet arrival rate. In a network consisting of 10 sensors, the increase in packet reception rate ranges from 4.9% to 7.8% when the sensors are placed in preset fixed positions. When the sensors are randomly placed, the increase in packet reception rate ranges from 0.9% to 7.9% and from 0.7% to 7.4%, corresponding to δ values of 0.7 and 0.9, respectively.

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Section: Related Workmentioning

confidence: 99%

“…N N Y N [30] Because priorities of heterogeneous sensors are different, an analytic hierarchy process algorithm is proposed to determine the weight values of the sensors.…”

Section: N N Y N [29]mentioning

confidence: 99%

A Cooperative Transmission Scheme in Radio Frequency Energy-Harvesting WBANs

et al. 2023

Sustainability

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show abstract

“…The writers approached these issues using a variety of techniques, including gradient descent, bisection search algorithms, the Lagrange dual sub gradient method, etc. To guarantee low power consumption and minimal latency for emergency data reporting, Liang et al [15] presented the energy-aware and energy-efficient MAC (EEEA-MAC) protocol. In order to maximise throughput for each sensor, He et al [16] presented a joint weight optimising time slot allocation methodology (JWTA), in which the weight is determined via an analytical hierarchy approach.…”

Section: IImentioning

confidence: 99%

Implementation of Efficient Mac Protocols for wireless Senosrs in WBA Networks

Venteshulu,

Kishore,

Kavya

2023

IJRASET

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Various medical applications consisting of heterogeneous requirements are supported by WBA networks. For reliable data transmission it is required to use an efficient medium access control protocol. Here, in this project, a dynamic Super frame structure-based MAC protocol is proposed by extending the standard principles from IEEE 802.15.6 which is a standard protocol, a mechanism for allocating dedicated slots with prioritization is used which is known to be Criteria Importance Through Inter-criteria Correlation, inorderto assign the allocation of slots for every sensor device. Values of sensor devices are calculated based on different sensors parameters by using CRITIC method. There by we compare our proposed work with the standard IEEE 802.15.6 MAC and other MAC protocols. By simulating it is shown that our proposed MAC protocol has performed better in Reliability, Throughput, Energy Efficiency and also Packet Delivery Delay. In the results it is shown that Reliability of data transmission has increased over more than 50% over the standard IEEE 802.15.6 MAC

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“…Here item ητ T σ 2 S is ignored since it is rather smaller than the front one in practice [41]. Ĥij = H ij V and the operator represents the Hadamard product.…”

Section: A Weh Phasementioning

confidence: 99%

Transmission Optimization and Resource Allocation for Wireless Powered Dense Vehicle Area Network With Energy Recycling

Jin

Ling

et al. 2022

IEEE Trans. Veh. Technol.

Self Cite

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The wireless-powered communication paradigm brings self-sustainability to the on-vehicle sensors by harvesting the energy from radiated radio frequency (RF) signals. This paper proposes a novel transmission and resource allocation strategy for the scenario where multiple wireless powered vehicle area networks (VAN) co-existed with high density. The considered multi-VAN system consists of a remote master access point (MAP), multiple on-vehicle hybrid access points (HAPs) and sensors. Unlike previous works, we consider that the sensors can recycle the radiated radio frequency energy from all the HAPs when HAPs communicate with MAP, so the dedicated signals for energy harvesting (EH) are unnecessary. The proposed strategy can achieve simultaneous wireless information and power transfer (SWIPT) without complex receiver architecture requirements. The extra EH and interference caused by the dense distribution of VANs, which are rarely explored, are fully considered. To maximize the sum throughput of all the sensors while guaranteeing the transmission from HAPs to the MAP, we jointly optimize the time allocation, system energy consumption, power allocation, and receive beamforming. Due to the non-convexity of the formulated problem, we address the sub-problems separately through the Rayleigh quotient, Frobenius norm minimization and convex optimization. Then an efficient iterative algorithm to obtain sub-optimal solutions. The simulation results and discussions illustrate the proposed scheme's effectiveness and advantages.

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A Dynamic Weights Algorithm on Information and Energy Transmission Protocol Based on WBAN

Cited by 11 publications

References 30 publications

A Cooperative Transmission Scheme in Radio Frequency Energy-Harvesting WBANs

A Cooperative Transmission Scheme in Radio Frequency Energy-Harvesting WBANs

Implementation of Efficient Mac Protocols for wireless Senosrs in WBA Networks

Transmission Optimization and Resource Allocation for Wireless Powered Dense Vehicle Area Network With Energy Recycling

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