-------- Weitergeleitete Nachricht -------- Betreff: [TCCC-ANNOUNCE] CFP: Computer networks SI on Green computing in wireless sensor networks Datum: Tue, 11 Jul 2017 22:30:26 +0800 Von: Xiufang Shi xfshi.zju@GMAIL.COM Antwort an: Xiufang Shi xfshi.zju@GMAIL.COM An: tccc-announce@COMSOC.ORG

*CFP* *of Special Issue in Elsevier Computer Networks*

*Green Computing in Wireless Sensor Networks*

The past decades have witnessed the advancement of Wireless Sensor Networks (WSNs) in both 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 word 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, and 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. Such a 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 cross different system layers, to prolong the 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 budget. 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 circumstance, 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 cross them) are of great significance to improve the sustainability and performance of WSNs. Therefore, it is highly worthy to extensively investigate how we run a WSN in a green fashion.

Topics of primary interest are centered around green computing in WSNs, including but not being limited to:

l Energy harvesting/charging and power management

l Long-life sensor node deployment and topology control

l Energy-efficient communication protocol design

l Scheduling algorithms for sensor networks

l Energy-efficient (or –free) sensing techniques

l New applications of self-sustainable sensor networks

l Data routing, processing and storage strategies

l Network modelling and performance analysis

*Schedule*

Manuscript Due: August 15th, 2017

First Notification: October 31st, 2017

Revised version: December 15th, 2017

Final notification: January 15th, 2018

Publication Date: The 2nd quarter of 2018 (tentative)

*Guest Editor*

*Feng Li* (Corresponding Editor)

School of Computer Science and Technology

Shandong University

Jinan, Shandong, China 250101

Email: fli@sdu.edu.cn

*Shibo He*

School of Computer Science and Engineering

Zhejiang University,

Hangzhou, Zhejiang, China 310027

Email: s18he@zju.edu.cn

*Jun Luo*

School of Computer Science and Engineering

Nanyang Technological University

Singapore 639798

Email: junluo@ntu.edu.sg

*Gurusamy Mohan*

Department of Electrical & Computer Engineering

National University of Singapore

Singapore 117576

Email: elegm@nus.edu.sg

*Junshan Zhang*

School of Electrical, Computer and Engineering

Arizona State University

Tempe, AZ 85287-7206

Email: junshan.zhang@asu.edu

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