Smart Energy Harvesting Routing Protocol for WSN based E-Health Systems

Bai, Jingwen; Fan, Mingming; Yang, Jinze; Sun, Yan; Phillips, Chris

doi:10.1145/2757290.2757296

Cited by 7 publications

(3 citation statements)

References 16 publications

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“…Each node in ENR has a choice to admit or reject the requests regarding the packet relaying based on its status of energy harvesting and helps in the fair distribution of network traffic load to obtain Energy Neutral Operation (ENO). Bai et al [25] proposed a Smart Energy Harvesting Routing (SEHR) that formulated the route cost function as a function of three attributes such as expected energy harvesting rate, node's energy and the type of data which was sent in earlier transmission. SEHR chooses the routes based on three main strategies such as stability, mobility and the power estimation of SN in real time.…”

Section: Literature Surveymentioning

confidence: 99%

E2BNAR: Energy Efficient Backup Node Assisted Routing for Wireless Sensor Networks

Bhat

2023

IJRITCC

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In Wireless Sensor Networks (WSNs), each sensor node can only use so much power before recharging. If energy is depleted too quickly, nodes will fail one by one, bringing down the network as a whole. To this end, a design is needed to reduce the burden on the sensor nodes' power supplies while extending the network's useful life. This paper proposes a new approach, called Energy Efficient Backup Node Assisted Routing, to accomplish this (E2BNAR). Each primary node in the network has a group of backup nodes to ensure the network continues functioning. Assuming that the sensor nodes are capable of energy harvesting, E2BNAR finds the best backup node by analyzing the statistical relationship between energy harvesting and consumption rates. Periodically, residual energy is used to analyze the current energy consumption rate. When evaluating performance, several different indicators are taken into account. These include the Packet Delivery Ratio, Throughput, Average Energy Consumption, and Number of Awakened Sensor Nodes. Through analysis and experimentation in several settings, the proposed method's efficacy has been established.

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Section: Literature Surveymentioning

confidence: 99%

E2BNAR: Energy Efficient Backup Node Assisted Routing for Wireless Sensor Networks

Bhat

2023

IJRITCC

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“…In ENR, each node admits or rejects packet relay requests based on its energy-harvesting status, which aims at fairly distributing the network traffic load to achieve ENO. Smart Energy-Harvesting Routing (SEHR) proposed a cost function that formulates the energy consumption based on the sent data type in addition to the node's energy and the expected energy-harvesting rate (Bai et al 2015). SEHR selects routes using three main strategies including real-time node power estimation, which is based on the amount of energy harvested and the energy drain rate, the node mobility and stability, and finally the protocol prioritizes routes based on the data types available for transmission.…”

Section: Route Cost Based Protocolsmentioning

confidence: 99%

Energy-Harvesting Wireless Sensor Networks (EH-WSNs)

Adu-Manu

Adam

Tapparello

et al. 2018

ACM Trans. Sen. Netw.

295

162

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Wireless Sensor Networks (WSNs) are crucial in supporting continuous environmental monitoring, where sensor nodes are deployed and must remain operational to collect and transfer data from the environment to a base-station. However, sensor nodes have limited energy in their primary power storage unit, and this energy may be quickly drained if the sensor node remains operational over long periods of time. Therefore, the idea of harvesting ambient energy from the immediate surroundings of the deployed sensors, to recharge the batteries and to directly power the sensor nodes, has recently been proposed. The deployment of energy harvesting in environmental field systems eliminates the dependency of sensor nodes on battery power, drastically reducing the maintenance costs required to replace batteries. In this article, we review the state-of-the-art in energy-harvesting WSNs for environmental monitoring applications, including Animal Tracking, Air Quality Monitoring, Water Quality Monitoring, and Disaster Monitoring to improve the ecosystem and human life. In addition to presenting the technologies for harvesting energy from ambient sources and the protocols that can take advantage of the harvested energy, we present challenges that must be addressed to further advance energy-harvesting-based WSNs, along with some future work directions to address these challenges.

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“…Li et al [50] proposed an optimization algorithm called Discrete Particle Swarm Optimization (DPSO) for optimum selection of CH in a cluster, which uses the EWMA algorithm to predict the energy harvesting rates of sensor nodes. Bai et al [51] proposed Smart Energy Harvesting Routing (SEHR) in which a cost function is formulated based on the sent data type in addition to expected harvesting rate and the node's energy. The selection of route in SEHR is based on three strategies i.e.…”

Section: Related Research Workmentioning

confidence: 99%

Harvested Energy Scavenging and Transfer capabilities in Opportunistic Ring Routing

et al. 2021

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Energy conservation has always been a prominent design goal for hierarchical routing protocols supporting sink mobility. Advertising the current position of mobile sink introduces control packet overhead which ultimately results in an increase in energy consumption and shorter network lifetime. Energy harvesting through ambient sources have enabled the utilization of rechargeable devices for Wireless Sensor Networks to perpetually remain operational. The modifications in the hierarchical structure of wireless sensor networks along with energy scavenging approaches could possibly minimize the control packet overhead and also provide a significant improvement in energy conservation. In this paper, we propose a novel Harvested Energy Scavenging and Transfer capabilities in Opportunistic Ring Routing protocol which uses a distinguishing approach of hybrid (ring + cluster) topology in which the network architecture is initially supported by the formation of a virtual ring structure and then a two-tier routing topology is used in the virtual ring as an overlay by grouping nodes into clusters. The rate of energy gain from solar harvesting and radio frequency transfer is the criterion for selecting cluster heads. The role of cluster heads is exploited to advertise the mobile sink current position as well as forward the aggregated data towards mobile sink using energy transfer based opportunistic routing. The simulation results reveal that our scheme considerably outperforms the existing benchmarks in terms of control packet overhead, energy conservation, network lifetime, packet delivery ratio and average end-end delay.

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Smart Energy Harvesting Routing Protocol for WSN based E-Health Systems

Cited by 7 publications

References 16 publications

E2BNAR: Energy Efficient Backup Node Assisted Routing for Wireless Sensor Networks

E2BNAR: Energy Efficient Backup Node Assisted Routing for Wireless Sensor Networks

Energy-Harvesting Wireless Sensor Networks (EH-WSNs)

Harvested Energy Scavenging and Transfer capabilities in Opportunistic Ring Routing

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