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feature topic

call for papers

as a potential way to dramatically change how human beings work and live, the internet of things (iot) aims to connect every “thing” (e.g., car, people, network) from the physical world, social world to cyber world and let every “thing” interact with each other (e.g., smart transportation, smart grid, smart manufacturing). since the appearance of the concept of iot, it is attracting tremendous attention from the academia, industry and government. championing the iot concept, iot is even considered by enthusiasts as the world's third wave of the information industry evolution after the inventions of computer and internet. however, the greenness of iot is crucial for the success of iot. specifically, various things (e.g., sensor devices, mobile phone terminals, cloud computing systems) in iot are consuming a large amount of energy. moreover, the connection of things (e.g., rfid network, gps network, 5g network) in iot is with substantial energy consumption. finally, the interaction of things (e.g., data sensing, data communications, data computing) in iot needs a lot of energy. in particular, with the prevalence of mobile devices, electronic devices, cameras, social networks, social media, etc., our world is generating big data and multimedia big data, which further aggregate the energy demand in terms of the data transmission of iot.

therefore, the aim of this feature topic (ft) is to solicit original papers with novel contributions on the greenness of iot, from the perspective of energy efficiency. contributions by the applications of emerging technologies (e.g., social computing, big data computing, fog computing, edge computing, emotional computing, software defined networks) to address the greenness issue of iot are also welcome.

topics of interest include (but are not limited to):

· energy-efficient sensing for green iot

· energy-efficient cloud computing for green iot

· energy-efficient rfid for green iot

· energy-efficient 5g for green iot

· energy-efficient communication for green iot

· energy-efficient data center for green iot

· energy-efficient cyber-physical systems for green iot

· social computing for green iot

· big data computing for green iot

· fog computing for green iot

· edge computing for green iot

· emotional computing for green iot

· software-defined networks for green iot

· middleware for green iot

· testbeds for green iot

· novel applications for green iot

submission guidelines

articles should be tutorial in nature, with the intended audience being all members of the communications technology community. they should be written in a tutorial style comprehensible to readers outside the specialty of the article. mathematical equations should not be used (in justified cases up to three simple equations are allowed). articles should not exceed 4500 words (from introduction through conclusions, excluding figures, tables and captions). figures and tables should be limited to a combined total of six. the number of archival references is recommended not to exceed 15. in some rare cases, more mathematical equations, figures, and tables may be allowed, if well-justified. in general, however, mathematics should be avoided; instead, references to papers containing the relevant mathematics should be provided. complete guidelines for preparation of the manuscripts are posted at . please submit a pdf (preferred) or msword formatted paper via manuscript central (). register or log in, and go to author center. follow the instructions there. select "january 2019 / green internet of things " as the feature topic category for your submission

important dates

· manuscript submission due: may 1, 2018

· decision notification: september 1, 2018

· final manuscript submission due: october 15, 2018

· publication date: january 2019

guest editors

lei shu
nanjing agricultural university, china & university of lincoln, uk

chunsheng zhu
the university of british columbia, canada

vincenzo piuri
universita' degli studi di milano, italy

joel j. p. c. rodrigues
national institute of telecommunications, brazil; instituto de telecomunicações, portugal

arun vishwanath
ibm research, australia