Green Wireless Sensor Network

A special issue of Journal of Sensor and Actuator Networks (ISSN 2224-2708). This special issue belongs to the section "Wireless Control Networks".

Deadline for manuscript submissions: closed (31 January 2021) | Viewed by 3677

Special Issue Editor


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Guest Editor
Department of Pure and Applied Sciences, University of Urbino, 61029 Urbino, Italy
Interests: wireless sensor networks; machine learning; internet of things; embedded devices
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Special Issue Information

Dear Colleagues,

Green wireless sensor networks (GWSNs) represent an emerging concept in which the lifetime and throughput performance is maximized while minimizing the carbon footprints. GWSNs are among the most natural applications of energy-harvesting techniques. Sensor nodes are usually deployed in harsh environments with no infrastructured power supply, and are often scattered over wide areas where human intervention is difficult and expensive, if not impossible. Therefore, their lifetime is limited by the duration of their batteries, and so most of the research efforts in the field of WSNs has been devoted to lifetime maximization by means of the joint application of low-power design, dynamic power management, and energy-aware routing algorithms.

The capability of harvesting renewable power from the environment provides the opportunity of granting unbounded lifetime to sensor nodes, thus overcoming the limitations of battery-operated WSNs.

Designing a GWSN addresses several hardware-software architectural aspects, such as: energy harvesting from natural resources (sun, wind, etc.); smart operation modes through dynamic power management strategies; low-power triggering techniques, such as wake-up radios, to eliminate idle-listening-induced communication costs; new energy-efficient routing algorithms; and energy redistribution among nodes by means of wireless power transfer (WPT) technology.

This Special Issue targets scientific contributions on green wireless sensor networks (GWSNs) addressing energy efficiency and green computing principles.

Potential topics include, but are not limited to:

  • Energy-harvesting-enabled networks;
  • New power management strategies;
  • Low-power triggering;
  • Energy efficient routing algorithms;
  • Energy redistribution among nodes;
  • Use cases and testbeds;

Dr. Emanuele Lattanzi
Guest Editor

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Keywords

  • wireless sensor networks
  • sensors and actuators
  • energy harvesting
  • energy sustainability
  • low-power triggering
  • energy-efficient routing algorithms
  • wireless power transfer

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Published Papers (1 paper)

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14 pages, 411 KiB  
Article
A Green Routing Protocol with Wireless Power Transfer for Internet of Things
by Francesco Chiti, Romano Fantacci and Laura Pierucci
J. Sens. Actuator Netw. 2021, 10(1), 6; https://doi.org/10.3390/jsan10010006 - 24 Jan 2021
Cited by 12 | Viewed by 3078
Abstract
The usually constrained resources and lossy links scenarios of Internet of Things (IoT) applications require specific protocol suite, as the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL). Due to its flexibility, RPL can support efficiently vertical applications such as environmental monitoring, [...] Read more.
The usually constrained resources and lossy links scenarios of Internet of Things (IoT) applications require specific protocol suite, as the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL). Due to its flexibility, RPL can support efficiently vertical applications such as environmental monitoring, smart city and Industry 4.0. In this paper, we propose a new Objective Function (OF) for RPL based on a composite metric considering jointly the residual energy of a node (parent) together with the energy that a neighbor node (child) can transfer to the parent according to the Wireless Power Transfer (WPT) concept. Specifically, we consider simultaneous wireless information and power transfer (SWIPT) technique, which enables both the energy harvesting and information decoding from the same radio frequency (RF) signal, in order to influence the selection of the best path according to the proposed energy efficient metric in RPL. Performance evaluation on a realistic scenario pointed out a remarkable energy saving to prolong the network lifetime, by selecting the best path toward the sink node, with respect to the OFs usually considered in the literature. Full article
(This article belongs to the Special Issue Green Wireless Sensor Network)
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