[agents] Elsevier - Swarm Intelligence for Resources Management in Internet of Things

[Ashraf Darwish]

Call for Book Chapter

*Swarm Intelligence for Resources Management in Internet of Things*

*Science Direct (Elsevier) Publisher*

*Dear Respected Professors/Researchers*

Internet of Things (IoT) is a new platform of different physical objects or
things equipped with sensors, electronics, smart devices, software, and
network connections. IoT will represent a new revolution of the Internet
network which is driven by the recent advances of technologies such as
sensor networks (wearable and implantable), mobile devices, networking, and
cloud computing technologies. IoT permits these the smart devices to
collect, store and analyze the collected data with limited storage and
processing capacities. Swarm intelligence is a new approach in artificial
intelligence which can used for resources management in IoT. Currently, IoT
can be used in many important applications which include healthcare, smart
cities, smart homes, smart hospitals, Environment monitoring, and video
surveillance, and Energy etc. To handle the issues of limited processing
and storage capabilities in all these applications, swarm intelligence
techniques can used to save the resources management of IoT such as the
lifetime of energy.

IoT devices cannot perform complex on-site data processing due to their
limited battery and processing. However, the major processing unit of an
application can be transmitted to another nodes which are more powerful in
terms of storage and processing. By applying swarm intelligence algorithms
for IoT devices, we can provide energy major advantages for saving of IoT
devices. This motivations lead to the importance of using swarm
intelligence for saving resources of IoT, however, at the same time, it
presents several problems and challenges for each application. For example,
for IoT devices to be used for longer time, the development of energy
efficient methods for sustainable computing is a challenging issue. This
book aims to provide an initial understanding of the technical aspects of
swarm intelligence algorithms, techniques and their potential use in
IoT-based applications.



*Original contributions are solicited in relevant areas including, but not
limited to:*

·        Swarm intelligence in routing in wireless sensor networks

·        Swarm Intelligence in vehicle routing in IoT

·        Swarm Intelligence in prediction of remaining useful life for
batteries in IoT

·        Swarm Intelligence for energy efficient sensor movement in
wireless sensor networks

·        Swarm Intelligence for node search for wireless sensor networks

·        Swarm Intelligence for radio frequency identification (RFID)
network planning problem in IoT

·        Swarm Intelligence for service optimization problem in IoT

·        Swarm Intelligence for clustering in wireless sensor networks

·        Swarm Intelligence for sensor deployment in wireless sensor
networks

·        Swarm Intelligence for optimal controller design for battery
energy storage

·        Swarm Intelligence for collaborative mobile sensing in wireless
sensor networks

·        Swarm Intelligence for energy management in IoT

·        Swarm Intelligence for node and sink nodes localization of Sensor
Networks

·        Swarm Intelligence for trajectory optimization for an autonomous
mobile robot in IoT

·        Swarm Intelligence for search route in routing processing of IoT

·        Swarm Intelligence for tourist mobility in IoT

·        Swarm Intelligence for data management and mining technologies to
manage and analyze data in IoT

·        Swarm Intelligence for fault tolerance routing problem in IoT

·        Swarm Insect-based algorithm for IoT

·        Swarm Bacteria-based algorithm for IoT

·        Swarm Bird-based algorithm for IoT

·        Swarm Amphibious-based algorithm for IoT

·        Swarm Wild-based algorithm for IoT



*Book Publisher *

 The book will be published by Science Direct (Elsevier) Publisher.



*Target Audience *

The target audience includes researchers, practitioners and (Masters/
Ph.D.) students. Therefore, papers need to address both scientific and
practical implications of the research.



*Submission Format and Guideline*

*Chapter Submission:*

*https://easychair.org/conferences/?conf=sirmiot2019
<https://easychair.org/conferences/?conf=sirmiot2019>*



All submitted papers must be clearly written in excellent English and
contain only original work, which has not been published by or is currently
under review for any other journal or conference. Chapters must not exceed
30 pages. The chapters should not contain any plagiarism. All papers will
be peer-reviewed by at least three independent reviewers. Requests for
additional information should be addressed to the guest editors.

OR; you can send your chapter by email to: ashraf.darwish.eg at ieee.org

*Publication Schedule*

The deadline for accepting submissions has been extended to September, 30,
2019.

*Book Editors*

Abo Ella Hassanien, Egypt

Ashraf Darwish, Egypt

-- 

*With many thanks and best regards*

*Ashraf Darwish*

PhD, Saint Petersburg State University
Associate Professor of Computer Science,

Faculty of Science, Helwan University, Cairo, Egypt
Machine Intelligence Research Labs (MIR Labs),USA

Ex- Cultural and Educational attaché,

Embassy of Egypt, Republic of Kazakhstan
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