Energy harvesting in wireless sensor networks: A comprehensive review

Shaikh, Faisal Karim; Zeadally, Sherali

doi:10.1016/j.rser.2015.11.010

Cited by 1,020 publications

(564 citation statements)

References 117 publications

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“…To enlarge the network coverage area, the small and large networking areas are designed efficiently and which are scalable due to all operations. TropOS are well suited with area having more than thousands of miles [12].…”

Section: G Pwrp (Predictive Wireless Routing Protocol)mentioning

confidence: 99%

Survey on Energy Efficient and Throughput Enhancement Routing Protocols over Wireless Mesh Networks

Archana¹

2018

IJRASET

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This paper presents an overview of Energy efficient routing protocols that are intended to improve the throughput performance over Wireless Mesh Networks. The accompanying routing protocols depend on vitality efficient and throughput change in mesh network. Here the Dynamic source routing protocol, Intra-zone Routing Protocol (IARP) is used within the routing area to avoid congestion and Inter-zone Routing Protocol (IERP) was used between more than a specified routing areas.

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Section: G Pwrp (Predictive Wireless Routing Protocol)mentioning

confidence: 99%

Survey on Energy Efficient and Throughput Enhancement Routing Protocols over Wireless Mesh Networks

Archana¹

2018

IJRASET

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“…Supercapacitors, on the other hand, have high power density, and longer lifetime than batteries. At the same time, they offer lower impedance, rapid charging and discharging, and virtually unlimited charging cycles [8]. The concerns of heat dissipation and overcharging do not remain with the use of ultracapacitors and they do not release anything causing environmental degradation.…”

Section: Energy Harvesting Systemmentioning

confidence: 99%

Energy Harvesting in Wireless Sensor Networks: Techniques and Issues

Singh¹,

Moh²

2017

IJCA

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“…With the development of high efficiency energy harvesting mechanisms, sensor nodes can harvest enough power to continue with their operation. As an example, [10] presents a comprehensive review of energy harvesting systems. Therefore, the design approaches of WSNs can relax the constraints on power consumption, or assume that an energy harvesting is implemented.…”

Section: Introductionmentioning

confidence: 99%

An Optimized WSN Design for Latency-Critical Smart Grid Applications

2017

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The growing popularity of the Internet of Things (IoT) systems such as the smart grid, Body Area Networks (BANs), and the Intelligent Transportation System (ITS) is driving Wireless Sensor Network (WSN) systems to the limit in terms of abilities and performance. WSNs were initially designed for low power, low data rate, and latency-tolerant applications. However, this paradigm is changing because of the nature of the new applications. Therefore, instead of only focusing on power-efficient WSN design, researchers and industries are now developing Quality of Service (QoS) protocols for WSNs. In addition to that, latency-and reliability-critical protocol designs are also becoming significantly important in WSNs. In this paper, we present an overview of some important smart grid latency-critical applications and highlight WSNs implementation challenges for these smart grid applications. Furthermore, we develop and evaluate two novel optimization models that solve for the optimum values of the end-to-end latency and power consumption in a clustered WSN given lower bounds on reliability and other network parameters.

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Energy harvesting in wireless sensor networks: A comprehensive review

Cited by 1,020 publications

References 117 publications

Survey on Energy Efficient and Throughput Enhancement Routing Protocols over Wireless Mesh Networks

Survey on Energy Efficient and Throughput Enhancement Routing Protocols over Wireless Mesh Networks

Energy Harvesting in Wireless Sensor Networks: Techniques and Issues

An Optimized WSN Design for Latency-Critical Smart Grid Applications

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