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Special Issue "Advances in Sustainable Computing for Wireless Sensor Networks"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: closed (30 August 2019).

Special Issue Editors

Dr. Vijayakumar Varadarajan
Website
Guest Editor
School of Computing Sciences, VIT University, Chennai, India
Interests: Grid Computing; Security; Networking; Cloud Computing; Big Data
Dr. Layth Sliman
Website
Guest Editor
Department of Computing Science, EFREI Engineering School, 30-32 Avenue de Republic, Paris 94800, France
Dr. Subramaniyaswamy V.
Website
Guest Editor
Associate Professor, School of Computing, SASTRA Deemed University, India
Interests: recommender systems; cloud computing; Internet of Things; context-aware computing; Big Data Analytics; Social Network Analysis
Dr. K. R. R. Rao
Website1 Website2
Guest Editor
Department of Electrical Engineering, University of Texas Arlington, 701 W Nedderman Dr, Arlington, TX 76019, USA
Interests: Digital signal and image processing; Data compression by various techniques for digital transmission or storage of audio and video at reduced rates; Image, video and audio coding standards

Special Issue Information

Dear Colleagues,

The past few decades have witnessed the advancement of wireless sensor networks (WSNs) in both the academic and industrial communities. In a WSN, a large number of sensor nodes are deployed and networked to monitor or survey targeted area, such that the interested data can be sensed, processed, stored, and collected. Through WSNs, we are able to bridge the physical world and the cyber space, which composes the foundation for developing new smart applications. Many potential applications of WSNs have been exploited in the fields of environmental engineering, healthcare, industry, military applications, smart home, green buildings, etc.

To enable the pervasive deployment of WSNs, the biggest stumbling block is the contradiction between the various functionalities demanded by applications and the limited energy supply for sensor nodes. This situation is getting worse, especially considering the increasing network scale. Therefore, in this Special Issue, we look at WSNs, mainly from the perspective of green computing. On one hand, we expect to design energy-saving (or -free) protocols across different system layers, to prolong network lifetime as far as possible. Specifically, to practice WSNs in real applications, we are supposed to achieve a tradeoff between system performance and energy efficiency, through adapting sensing/networking functionalities to energy budgets. On the other hand, we can resort to seeking new techniques to sustainably supply energy to sensor nodes. For example, sensor nodes equipped with certain mechanisms can harvest energy from surrounding circumstances, or we can rely on dedicated devices to periodically charge the sensor nodes (if they are re-chargeable). The above threads (or the joint optimizations across them) are of great significance to improve the sustainability and performance of WSNs. Therefore, it is worth extensively investigating how we run a WSN in a green fashion.

For this Special Collection, authors are invited to submit original research papers, high-quality overviews, and survey articles on topics including but not limited to:

  • Algorithms and optimizations for sustainable WSNs;
  • Energy harvesting/charging and power management;
  • Long-life sensor node deployment and topology control;
  • Energy-efficient communication protocol design;
  • Scheduling algorithms for sensor networks;
  • Energy-efficient (or -free) sensing techniques;
  • New applications of self-sustainable sensor networks;
  • Data routing, processing, and storage strategies;
  • Network modeling and performance analysis;
  • Data intelligence in a smart grid;
  • Resource modeling and management;
  • Energy internet;
  • Green data centers and enterprise computing;
  • Sensor networks for environment monitoring;
  • Security and privacy in sustainable WSNs.

Dr. Vijayakumar V.
Dr. Layth Sliman
Dr. Subramaniyaswamy V.
Dr. K. R. Rao
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (4 papers)

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Research

Open AccessArticle
Bell-X, An Opportunistic Time Synchronization Mechanism for Scheduled Wireless Sensor Networks
Sensors 2019, 19(19), 4128; https://doi.org/10.3390/s19194128 - 24 Sep 2019
Cited by 1
Abstract
The Industrial Internet of Things (IIoT) is having an ever greater impact on industrial processes and the manufacturing sector, due the capabilities of massive data collection and interoperability with plant processes, key elements that are focused on the implementation of Industry 4.0. Wireless [...] Read more.
The Industrial Internet of Things (IIoT) is having an ever greater impact on industrial processes and the manufacturing sector, due the capabilities of massive data collection and interoperability with plant processes, key elements that are focused on the implementation of Industry 4.0. Wireless Sensor Networks (WSN) are one of the enabling technologies of the IIoT, due its self-configuration and self-repair capabilities to deploy ad-hoc networks. High levels of robustness and reliability, which are necessary in industrial environments, can be achieved by using the Time-Slotted Channel Hopping (TSCH) medium access the mechanism of the IEEE 802.15.4e protocol, penalizing other features, such as network connection and formation times, given that a new node does not know, a priori, the scheduling used by the network. This article proposes a new beacon advertising approach for a fast synchronization for networks under the TSCH-Medium Access Control (MAC) layer and Routing Protocol for Low-Power and Lossy Networks (RPL). This new method makes it possible to speed up the connection times of new nodes in an opportunistic way, while reducing the consumption and advertising traffic generated by the network. Full article
(This article belongs to the Special Issue Advances in Sustainable Computing for Wireless Sensor Networks)
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Open AccessArticle
Efficient Energy Supply Using Mobile Charger for Solar-Powered Wireless Sensor Networks
Sensors 2019, 19(12), 2679; https://doi.org/10.3390/s19122679 - 13 Jun 2019
Cited by 1
Abstract
An energy-harvesting wireless sensor network mitigates the energy shortage problems of existing battery-based wireless sensors; however, its hotspot area sensor nodes still experience 3 blackouts, thereby reducing network connectivity. Techniques that transfer energy directly to sensor nodes using wireless power transfer (WPT) have [...] Read more.
An energy-harvesting wireless sensor network mitigates the energy shortage problems of existing battery-based wireless sensors; however, its hotspot area sensor nodes still experience 3 blackouts, thereby reducing network connectivity. Techniques that transfer energy directly to sensor nodes using wireless power transfer (WPT) have been studied in recent years to address this issue. In this paper, we propose a technique that uses a drone (quadcopter), which is a type of unmanned aerial vehicle (UAV), as a mobile sink. The drone selects and manages anchor nodes that aggregate data temporarily, collects data by visiting the anchor nodes to mitigate the hotspot issue, and then prevents blackouts by supplying energy to low-energy nodes, thereby improving network connectivity. The anchor nodes are carefully selected after considering the energy capacity of the drone, the size of the network, the amount of collected data, and the energy consumed by the nodes to increase the network’s energy efficiency. Furthermore, energy is transferred from the drone to the anchor nodes to support their energy consumption. In our study, this method reduced the blackouts of sensor nodes, including anchor nodes, in hotspot regions, and increased network connectivity, thereby improving the amount of data gathered by the mobile sink. Full article
(This article belongs to the Special Issue Advances in Sustainable Computing for Wireless Sensor Networks)
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Open AccessArticle
Plummeting Broadcast Storm Problem in Highways by Clustering Vehicles Using Dominating Set and Set Cover
Sensors 2019, 19(9), 2191; https://doi.org/10.3390/s19092191 - 12 May 2019
Cited by 3
Abstract
“Vehicular Ad-hoc Networks” (VANETs): As an active research area in the field of wireless sensor networks, they ensure road safety by exchanging alert messages about unexpected events in a decentralized manner. One of the significant challenges in the design of an efficient dissemination [...] Read more.
“Vehicular Ad-hoc Networks” (VANETs): As an active research area in the field of wireless sensor networks, they ensure road safety by exchanging alert messages about unexpected events in a decentralized manner. One of the significant challenges in the design of an efficient dissemination protocol for VANETs is the broadcast storm problem, owing to the large number of rebroadcasts. A generic solution to prevent the broadcast storm problem is to cluster the vehicles based on topology, density, distance, speed, or location in such a manner that only a fewer number of vehicles will rebroadcast the alert message to the next group. However, the selection of cluster heads and gateways of the clusters are the key factors that need to be optimized in order to limit the number of rebroadcasts. Hence, to address the aforementioned issues, this paper presents a novel distributed algorithm CDS_SC: Connected Dominating Set and Set Cover for cluster formation that employs a dominating set to choose cluster heads and set covering to select cluster gateways. The CDS_SC is unique among state-of-the-art algorithms, as it relies on local neighborhood information and constructs clusters incrementally. Hence, the proposed method can be implemented in a distributed manner as an event-triggered protocol. Also, the stability of cluster formation is increased along with a reduction in rebroadcasting by allowing a cluster head to be passive when all its cluster members can receive the message from the gateway vehicles. The simulation was carried out in dense, average, and sparse traffic scenarios by varying the number of vehicles injected per second per lane. Besides, the speed of each individual vehicle in each scenario was varied to test the degree of cohesion between vehicles with different speeds. The simulation results confirmed that the proposed algorithm achieved 99% to 100% reachability of alert messages with only 6% to 10% of rebroadcasting vehicles in average and dense traffic scenarios. Full article
(This article belongs to the Special Issue Advances in Sustainable Computing for Wireless Sensor Networks)
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Open AccessArticle
Energy Efficient Routing Algorithm with Mobile Sink Support for Wireless Sensor Networks
Sensors 2019, 19(7), 1494; https://doi.org/10.3390/s19071494 - 27 Mar 2019
Cited by 31
Abstract
Recently, wireless sensor network (WSN) has drawn wide attention. It can be viewed as a network with lots of sensors that are autonomously organized and cooperate with each other to collect, process, and transmit data around targets to some remote administrative center. As [...] Read more.
Recently, wireless sensor network (WSN) has drawn wide attention. It can be viewed as a network with lots of sensors that are autonomously organized and cooperate with each other to collect, process, and transmit data around targets to some remote administrative center. As such, sensors may be deployed in harsh environments where it is impossible for battery replacement. Therefore, energy efficient routing is crucial for applications that introduce WSNs. In this paper, we present an energy efficient routing schema combined with clustering and sink mobility technology. We first divide the whole sensor field into sectors and each sector elects a Cluster Head (CH) by calculating its members’ weight. Member nodes calculate energy consumption of different routing paths to choose the optimal scenario. Then CHs are connected into a chain using the greedy algorithm for intercluster communication. Simulation results prove the presented schema outperforms some similar work such as Cluster-Chain Mobile Agent Routing (CCMAR) and Energy-efficient Cluster-based Dynamic Routing Algorithm (ECDRA). Additionally, we explore the influence of different network parameters on the performance of the network and further enhance its performance. Full article
(This article belongs to the Special Issue Advances in Sustainable Computing for Wireless Sensor Networks)
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