Energy-Efficient Harvested-Aware Clustering and Cooperative Routing Protocol for WBAN (E-HARP)

Ullah, Zahid; Ahmed, Imran; Khan, Fakhri Alam; Asif, Muhammad; Nawaz, Muhammad; Ali, Tamleek; Khalid, Muhammad; Niaz, Fahim

doi:10.1109/access.2019.2930652

Cited by 74 publications

(43 citation statements)

References 43 publications

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“…This protocol assures efficient and reliable data transmission of diverse data priorities and saves the energy of sensor nodes which in turn extends the WBAN lifetime. In [11], Energy-Efficient Harvested-Aware Clustering and Cooperative Routing protocol for WBAN (E-HARP) is presented to improve the WBAN performance and prolongs its life time by introducing two techniques, namely, dynamic election of CH, and, the technique which skips the transmission of redundant packets. Energy harvesting method is used to improve the WBAN lifetime, which continually supplies the sensor nodes with solar energy produced from the human neighboring.…”

Section: Related Workmentioning

confidence: 99%

mobTHE (Mobile Temperature Heterogeneity Energy) Aware Routing Protocol for WBAN IoT Health Application

2021

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In this paper, we are proposing and validating "mobTHE" protocol that is designed to fill the gap in handling seamless mobile communication for on-body nodes. Therefore, "mobTHE" protocol tackles the dis-connectivity problem resulted from the sensor nodes' mobility while keeping an eye on the network's sustainability in terms of maximum packet throughput, prolonged node lifetime, and low temperature. To provide such a balanced trade-off, we utilize two Coordinator Nodes (CNs), namely, CN1 and CN2. Both of these CNs are working as Serving CN (SCN) to its closest nodes and as Neighbour CN (NCN) to the sensor nodes located far from these CNs, which enable collecting data from different sensor nodes continuously. The challenge here is the synchronization between the two CNs in such a way to optimize network resources via minimizing packet transmission duplication and packet drop rate, which is the main contribution of this paper. We present a novel Handover (HO) mechanism during the sensor node mobility and changing between the two CNs. That HO mechanism is capable of minimizing the redundancy of packets and leading to minimization in the packet drop rate. Considering the worst-case scenario where the sensor node is out of the two CNs range, we exploit two-hops data transmission. Parent Node (PN) is selected "on demand" to carry only the data of the moving node which moves away from both CNs rather than carrying the data of all sensor nodes which conserves the energy of the PN nodes as well as the moving node. The simulation analysis depicted that "mobTHE" protocol outperforms the conventional "THE" and "iM-SIMPLE" protocols in terms of temperature control, WBAN lifetime, throughput, and overall residual energy.

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Section: Related Workmentioning

confidence: 99%

mobTHE (Mobile Temperature Heterogeneity Energy) Aware Routing Protocol for WBAN IoT Health Application

2021

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“…The simulation is performed, and it has been analysing that the proposed algorithm performed very well in various parameters like energy (35)(36)(37)(38), network lifetime, PDR, routing overhead, and packet loss. During the movement of the human body, if any child node moves away from its parent node, then it gets associated with another nearest parent node to save energy.…”

Section: Analysis Phasementioning

confidence: 99%

An Energy Efficient Health Monitoring System using Relay Node in Wireless Body Area Networks

Bilandi¹,

Verma²,

Dhir³

2020

EAI Endorsed Transactions on Pervasive Health and Technology

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INTRODUCTION: In today's world, Wireless Body Area Networks (WBAN) has emanated as a budding field within the healthcare scenario for monitoring, detecting, predicting, and diagnosing various fatal diseases such as cancer, cardiovascular, diabetes and other infectious diseases such as tuberclosis, pneumonia and ebola. It is an assemblage of bio-sensors which could be put on or embedded in a patient's body to surveil the functionality of various body organs. OBJECTIVES: The purpose of that proposed protocol is to select the relay node and record the various physiological parameters like body temperature, blood pressure, rate of blood sugar of human being. Energy consumption is a major hurdle in WBAN as replacing as well as recharging the nodes pinioned to human body may bring about discomfort to the patient. Therefore, in this work, the emphasis is given to improve the performance of WBAN i.e. network lifetime, greater mobility, stability and energy efficiency. METHODS: To find the shortest energy-efficient route and avoid any kind of relay node failure, a novel routing scheme called Enhanced Opportunistic Protocol using Relay nodes (E-OPR) is proposed for data routing. CONCLUSION: Finally, an enhanced opportunistic protocol using relay node in WBAN has been proposed for cost effective real time health monitoring system. The proposed solution seems to give better results as compare single-hop, multi-hop routing protocols in terms of throughput, network lifetime, energy consumption and path loss.

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“…The proposed system was developed and tested using MATLAB software simulation, as well as being tested experimentally using MySignals HW V2 hardware platform. Both simulation and experimental results are compared to the E-HARP [ 12 ] and PCRP [ 13 ] protocols. The remainder of this paper is organized as follows: the related works are investigated in Section 2 .…”

Section: Introductionmentioning

confidence: 99%

EERP-DPM: Energy Efficient Routing Protocol Using Dual Prediction Model for Healthcare Using IoT

Almalki

Soufiene

Almalki

et al. 2021

Journal of Healthcare Engineering

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Healthcare is one of the most promising domains for the application of Internet of Things- (IoT-) based technologies, where patients can use wearable or implanted medical sensors to measure medical parameters anywhere and anytime. The information collected by IoT devices can then be sent to the health care professionals, and physicians allow having a real-time access to patients’ data. However, besides limited batteries lifetime and computational power, there is spatio-temporal correlation, where unnecessary transmission of these redundant data has a significant impact on reducing energy consumption and reducing battery lifetime. Thus, this paper aims to propose a routing protocol to enhance energy-efficiency, which in turn prolongs the sensor lifetime. The proposed work is based on Energy Efficient Routing Protocol using Dual Prediction Model (EERP-DPM) for Healthcare using IoT, where Dual-Prediction Mechanism is used to reduce data transmission between sensor nodes and medical server if predictions match the readings or if the data are considered critical if it goes beyond the upper/lower limits of defined thresholds. The proposed system was developed and tested using MATLAB software and a hardware platform called “MySignals HW V2.” Both simulation and experimental results confirm that the proposed EERP-DPM protocol has been observed to be extremely successful compared to other existing routing protocols not only in terms of energy consumption and network lifetime but also in terms of guaranteeing reliability, throughput, and end-to-end delay.

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Energy-Efficient Harvested-Aware Clustering and Cooperative Routing Protocol for WBAN (E-HARP)

Cited by 74 publications

References 43 publications

mobTHE (Mobile Temperature Heterogeneity Energy) Aware Routing Protocol for WBAN IoT Health Application

mobTHE (Mobile Temperature Heterogeneity Energy) Aware Routing Protocol for WBAN IoT Health Application

An Energy Efficient Health Monitoring System using Relay Node in Wireless Body Area Networks

EERP-DPM: Energy Efficient Routing Protocol Using Dual Prediction Model for Healthcare Using IoT

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