SIIoT2019: Swarm Intelligence for Resources Management in Internet of Things |
Submission link | https://easychair.org/conferences/?conf=sirmiot2019 |
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
All Submissions should be sent to: ashraf.darwish.eg@ieee.org
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.
Publication Schedule
The deadline for accepting submissions has been extended to June, 30, 2019.
Book Editors
Abo Ella Hassanien, Egypt
Ashraf Darwish, Egypt