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Book ChapterDOI

A survey of energy conservation, routing and coverage in wireless sensor networks

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TLDR
Three issues in this paper, energy conservation, coverage and efficient routing, all of which are fundamental in designing and implementation of wireless sensor networks, are considered.
Abstract
The emergence of multimedia wireless sensor networks and its characteristics bring in new problems of wireless sensor networks compared with the traditional networks and wireless networks. We mainly consider three issues in this paper, energy conservation, coverage and efficient routing, all of which are fundamental in designing and implementation of wireless sensor networks. Energy conservation is the most significant problem in wireless sensor networks due to its limited energy source intuitively. The other two issues are usually combined with the energy conservation problem. The goal of coverage requirement is to have each location in the targeted physical space within sensing range of at least one sensor node. Besides, efficient routing aims to solve the problem that the collected data are efficiently reported to end-users. We introduce several state-of-the-art works and conclude these researches concerning their various metrics. Finally, we propose some rules while designing the wireless sensor networks according to the previous works, concerning these metrics.

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Journal ArticleDOI

A Comprehensive Overview on 5G-and-Beyond Networks With UAVs: From Communications to Sensing and Intelligence

TL;DR: A comprehensive overview of the latest research efforts on integrating UAVs into cellular networks, with an emphasis on how to exploit advanced techniques to meet the diversified service requirements of next-generation wireless systems is provided.
Journal ArticleDOI

A Novel Energy Efficient and Lifetime Maximization Routing Protocol in Wireless Sensor Networks

TL;DR: A multipath Energy-Efficient data Routing Protocol for wireless sensor networks (EERP) that minimizes and balances the energy consumption well among all sensor nodes and achieves an obvious improvement on the network lifetime.
Journal ArticleDOI

Quasi-Omnidirectional Wireless Power Transfer for a Sensor System

TL;DR: A sensor node charging system via Omni-directional magnetic coupling resonant technology based on the application background of using the unmanned aerial vehicle (UAV) for wireless charging in a hazardous industrial environment and achieves a maximum output power of 12 W.
Proceedings ArticleDOI

A Multi-Node Rechargeable Algorithm via Wireless Charging Vehicle with Optimal Traveling Path in Wireless Rechargeable Sensor Networks

TL;DR: This paper proposes a multi-node rechargeable algorithm (MRA) for the WPT based wireless rechargeable sensor networks (WRSNs), which employs a mobile wireless charging vehicle (WCV) to periodically visit each specified docking site in WSNs and charge all nodes within its charging range simultaneously.
Journal ArticleDOI

An Online Charging Scheme for Wireless Rechargeable Sensor Networks Based on a Radical Basis Function

TL;DR: An energy hole avoidance online charging scheme based on a radical basis function (RBF) neural network, named RBF-EHAOCS, is proposed, which has a lower node energy hole rate and smaller charging node charging latency than two other existing online charging schemes.
References
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Proceedings ArticleDOI

Energy-efficient communication protocol for wireless microsensor networks

TL;DR: The Low-Energy Adaptive Clustering Hierarchy (LEACH) as mentioned in this paper is a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network.

Energy-efficient communication protocols for wireless microsensor networks

TL;DR: LEACH (Low-Energy Adaptive Clustering Hierarchy), a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network, is proposed.
Proceedings ArticleDOI

PEGASIS: Power-efficient gathering in sensor information systems

TL;DR: PEGASIS (power-efficient gathering in sensor information systems), a near optimal chain-based protocol that is an improvement over LEACH, is proposed, where each node communicates only with a close neighbor and takes turns transmitting to the base station, thus reducing the amount of energy spent per round.
Journal Article

Geography-informed Energy Conservation for Ad Hoc Routing

TL;DR: In this article, the authors proposed a geographical adaptive fidelity (GAF) algorithm that reduces energy consumption in ad hoc wireless networks by identifying nodes that are equivalent from a routing perspective and turning off unnecessary nodes, keeping a constant level of routing fidelity.