Journal of Sensors

Green Wireless Sensor Networks


Publishing date
01 Sep 2021
Status
Closed
Submission deadline
23 Apr 2021

1CIC-IPN, Mexico City, Mexico

2Aalborg University, Aalborg, Denmark

This issue is now closed for submissions.
More articles will be published in the near future.

Green Wireless Sensor Networks

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Green communications are focused on reducing energy consumption and making efficient use of resources to limit the impact on the planet. The European Union aims at reducing greenhouse gas emissions in 2030 by at least 50% compared with the year 1990. Communication systems are part of the problem as they contribute to greenhouse gas emissions, pollution, and climate change. For Wireless Sensor Networks (WSNs), the strategy to reduce energy is not clear as its performance and design are decided on a case-by-case basis. For some applications the system lifetime is crucial, while for others the event detection probability, packet delay, or coverage is more important. Additionally, the configuration, architecture, communication schemes, available resources, and type of monitoring among other factors have a direct impact on the energy consumption and quality of service (QoS) provided. As such, reducing energy consumption to reduce the impact on the planet is a challenging task. With the rise of the Internet of Things (IoT), we expect a massive deployment of nodes that may cause irreparable damage to the planet if these issues are not considered in the design of WSNs.

The use of organic and compostable materials is essential to provide harmless monitoring. Additionally, WSNs can be deployed to stimulate efficient energy use across different human and economic activities. For example, WSNs can be deployed to monitor pollution levels and vehicular traffic in smart city environments, reporting timely to users in order to encourage the use of clean energy means of transportation such as bikes or walking when possible. Furthermore, WSNs can be deployed to reduce water consumption and the use of fertilizers and insecticides by targeting specific zones while operating with low energy levels by means of research on node positioning and drone assisted WSNs, among others.

In this Special Issue, we welcome original research that aims at reducing the impact of WSNs on the environment by reducing energy consumption, not only to increase the system lifetime but also to make efficient use of resources to only use energy when needed, reducing carbon emissions and pollution. We especially welcome submissions providing innovative and multidisciplinary works ranging from materials, machine learning, communication networks, multivariable optimization, and others mainly aimed at reducing the impact of this monitoring technology deployment in the environment, including forests, parks, oceans, rivers, and other fragile ecosystems. We also hope to attract review articles that describe the current state of the art in this area.

Potential topics include but are not limited to the following:

  • Low energy consumption WSNs
  • Efficient resource utilization
  • UAV assisted WSNs to reduce energy consumption
  • Energy harvesting in WSNs
  • Machine learning schemes to reduce energy consumption
  • Clustering/data fusion/compression in WSNs to reduce energy consumption
  • Mobile robot-assisted WSNs to reduce energy consumption
  • Multivariable optimization for multiple QoS providing in resource-limited WSNs
  • Organic and/or recyclable materials for node construction or batteries
  • Use of clean energies in WSNs

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 4510335
  • - Research Article

A Binary Adaptive Clone Shuffled Frog Leaping Algorithm for Three-Dimensional Low-Energy Target Coverage Optimization in Environmental Monitoring Wireless Sensor Networks

Bao Liu | Rui Yang | ... | Jie Zhou
  • Special Issue
  • - Volume 2021
  • - Article ID 9915133
  • - Research Article

Elite Adaptive Simulated Annealing Algorithm for Maximizing the Lifespan in LSWSNs

Jie Zhou | Wenxian Jia | ... | Mengying Xu
  • Special Issue
  • - Volume 2021
  • - Article ID 9960043
  • - Research Article

An Adaptive Immune Ant Colony Optimization for Reducing Energy Consumption of Automatic Inspection Path Planning in Industrial Wireless Sensor Networks

Chaoqun Li | Jing Xiao | ... | Jie Zhou
  • Special Issue
  • - Volume 2021
  • - Article ID 5590951
  • - Research Article

Minimization of Energy Consumption for Routing in High-Density Wireless Sensor Networks Based on Adaptive Elite Ant Colony Optimization

Jing Xiao | Chaoqun Li | Jie Zhou
  • Special Issue
  • - Volume 2021
  • - Article ID 6655967
  • - Research Article

Analysis and Design of a Wireless Sensor Network Based on the Residual Energy of the Nodes and the Harvested Energy from Mint Plants

Hassel Aurora Alcalá-Garrido | Víctor Barrera-Figueroa | ... | Hosanna Ramírez Pérez
  • Special Issue
  • - Volume 2021
  • - Article ID 8814839
  • - Research Article

An Improved Triggering Updating Method of Interest Message with Adaptive Threshold Determination for Directed Diffusion Routing Protocol

Jun Wang | Xiaohang Liu | ... | Song Gao
Journal of Sensors
 Journal metrics
Acceptance rate30%
Submission to final decision78 days
Acceptance to publication38 days
CiteScore4.100
Journal Citation Indicator0.450
Impact Factor2.137
 Submit

Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.