[agents] Special Issue "Sensors for Green Computing", Sensors (I.F.: 2.475)

[Jaime Lloret Mauri]

Special Issue "Sensors for Green Computing"

A special issue of Sensors (ISSN 1424-8220).

http://www.mdpi.com/journal/sensors/special_issues/sens_green_comput


Deadline for manuscript submissions: 31 July 2018

Guest Editors
Assoc. Prof. Dr. Jaime Lloret Mauri
Dr. Omprakash Kaiwartya


Dear Colleague,

The connected world is enlarging rapidly due to the growing computing and communication capability in devices or things around us in daily life. The growing digitization towards computing and communication-enabled smart things is diversifying the network heterogeneousness around us. It is pressing towards the smaller and smarter devices enabled via wide range of heterogeneous network access technologies. The sensor enabled smaller devices are energy constrained due to their size oriented limited battery power. Further to this power constraint, the increasing demand of smarter devices enhances computing demand in large volume leading to higher energy consumption. Here, it is worth noting that the frequent battery charging in any devices reduce user interest and friendliness. It is not feasible even with wireless charging technology advancements considering serious safety warning by battery manufacturers towards non-operation of devices during battery charging.        

You are welcome to submit an unpublished original research work related to the theme of “Sensors for Green Computing” in heterogeneous networks.


Manuscript Submission Information

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Keywords

    Energy optimization framework for sensor enabled next generation heterogeneous networks
    Cooperative scheduling of communication and computing for heterogeneous networks
    Light-weight computing architectures for next generation heterogeneous networks
    Interference aware communication models for next generation heterogeneous networks
    Edge computing oriented decentralized computing architectures for heterogeneous networks
    Quantity of energy oriented modeling for next generation heterogeneous networks
    Energy oriented propagation models for next generation heterogeneous networks
    Energy oriented frameworks for under water sensor enabled heterogeneous networks
    Access control based energy models for sensor enabled heterogeneous body area networks
    Energy saving in video oriented traffic data delivery in heterogeneous vehicular networks