An Enhanced Routing Protocol for Energy Harvesting-Wireless Sensor Networks for Optimal Execution of IoT Applications

Yallappa, Kumbhar Pravin; A, Naik A.

doi:10.1109/i2ct54291.2022.9824159

Cited by 2 publications

(3 citation statements)

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“…Yallappa [10] presented an energy harvesting aware protocol using two parameters, distance and maximum current energy to calculate the fitness for an optimal path between source and destination nodes. However, the prediction model of node energy harvesting is weak.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The lowest PLR is observed when the distance between nodes reaches 100 meters, and there are 100 nodes in the network. The work has been compared with EHARA [9], CFS [10], AODV-EHA [11], and R-MPRT [12] because these works are related to energy harvesting techniques. Fig.…”

Section: B Lceha Performance Under Different Distance Parametersmentioning

confidence: 99%

“…These works explore the application of energy harvesting techniques to enhance energy efficiency and prolong the operational lifespan of networks through the creation and selection of efficient link. During the link selection process, the authors used different parameters, such as shortest distance and energy harvesting rate [9], shortest distance and maximum current energy [10], shortest distance, transmission cost, and energy harvesting [11], residual energy and shortest distance [12], energy harvesting, energy consumption, and energy classification [13]. In our work, we select the efficient link by considering the closest angle among neighbors to the destination node.…”

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confidence: 99%

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Location Centric Energy Harvesting Aware Routing Protocol for IoT in Smart Cities

Zeb,

Ghani,

Gohar

et al. 2023

IEEE Access

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The advent of battery technology revolutionized power storage for various purposes, including uninterrupted operations of IoT-based Wireless Sensor Networks (WSNs). However, limited energy sources pose a challenge for sensor nodes. To overcome this, researchers introduced Energy Harvesting (EH) in IoT-based WSNs, enabling them to overcome energy limitations and recharge IoT devices. The shift towards energy harvesting-aware routing is necessary to achieve a near-perpetual network environment. In light of the energy consumption of IoT-based WSN nodes, a simple energy-efficient routing technique is proposed to consume less energy. The protocol incorporates efficient link selection based on the closest angle to the destination node and is divided into two main parts: distributed neighbor discovery and routing processes. By incorporating EH techniques, the proposed model aims to improve network longevity. Experimental results demonstrate successful routing and promising outcomes in terms of energy and utilization techniques. INDEX TERMS Internet of things, smart cities, energy harvesting, routing protocol, energy efficiency I. INTRODUCTION

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Section: Literature Reviewmentioning

confidence: 99%

Section: B Lceha Performance Under Different Distance Parametersmentioning

confidence: 99%

mentioning

confidence: 99%

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Location Centric Energy Harvesting Aware Routing Protocol for IoT in Smart Cities

Zeb,

Ghani,

Gohar

et al. 2023

IEEE Access

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Energy Prediction for Energy-Harvesting Wireless Sensor: A Systematic Mapping Study

Yuan,

Ge,

Wei

et al. 2023

Electronics

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Energy prediction plays a significant role in energy-harvesting wireless sensors (EHWS), as it helps wireless sensors regulate their duty cycles, achieve energy neutrality, and extend their lifespan. To explore and analyze advanced technologies and methods regarding energy prediction for EHWS, this study identifies future research directions and addresses the challenges faced based on the current research status, assisting with future literature research. This scholarly inquiry delineates future research prospects and addresses prevailing challenges within the context of the extant research landscape, thereby facilitating prospective scholarly endeavors. This study employed the systematic mapping study (SMS) approach to screen and further investigate the relevant literature. After searching and screening for papers from the ACM, IEEE Xplore, and Web of Science (WOS) databases from January 2007 to December 2022, 98 papers met the requirements of this study. Subsequently, the SMS was conducted for five research questions. The results showed that the solution proposal type category had the largest proportion among all research types, accounting for 58% of the total number, indicating that the research focusing on this field is placed on improving the existing methods or proposing new ones. Additionally, based on the SMS analysis, this study provides a systematic review of the technical utilization and improvement approaches, as well as the strengths and limitations of the selected prediction methods. Furthermore, by considering the current research landscape, this paper identifies the existing challenges and suggests future research directions, thereby offering valuable insights to researchers for making informed decisions regarding their chosen paths. The significance of this study lies in its contribution to driving advancements in the field of energy-harvesting wireless sensor networks. The importance of this study is underscored by its contribution to advancing the domain of energy-harvesting wireless sensor networks, thereby serving as a touchstone for forthcoming researchers in this specialized field.

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An Enhanced Routing Protocol for Energy Harvesting-Wireless Sensor Networks for Optimal Execution of IoT Applications

Cited by 2 publications

References 21 publications

Location Centric Energy Harvesting Aware Routing Protocol for IoT in Smart Cities

Location Centric Energy Harvesting Aware Routing Protocol for IoT in Smart Cities

Energy Prediction for Energy-Harvesting Wireless Sensor: A Systematic Mapping Study

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