Special Issue "Advances in Sustainable Computing for Wireless Sensor Networks"
Deadline for manuscript submissions: 30 August 2019
Dr. K. R. R. Rao
Department of Electrical Engineering, University of Texas Arlington, 701 W Nedderman Dr, Arlington, TX 76019, USA
Website 1 | Website 2 | E-Mail
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
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
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 1800 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.