Swarm Intelligence for Resource Management in Internet of Things

Aboul Ella Hassanien, Ashraf Darwish

• Publisher: Academic Press
• Year: 2020
• Print ISBN:
  9780128182871
• eBook ISBN:
  9780128182888
• Topic: Biological Sciences
• Subtopic: Biotechnology
• Index: Biological Sciences

Internet of Things (IoT) is a new platform of various physical objects or "things equipped with sensors, electronics, smart devices, software, and network connections. IoT represents 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 for Resource Management in the Internet of Things presents a new approach in Artificial Intelligence that can be used for resources management in IoT, which is considered a critical issue for this network. The authors demonstrate these resource management applications using swarm intelligence techniques. Currently, IoT can be used in many important applications which include healthcare, smart cities, smart homes, smart hospitals, environment monitoring, and video surveillance. 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 other nodes, which are more powerful in terms of storage and processing. By applying swarm intelligence algorithms for IoT devices, we can provide major advantages for energy saving in IoT devices. Swarm Intelligence for Resource Management in the Internet of Things shows the reader how to overcome the problems and challenges of creating and implementing swarm intelligence algorithms for each application - Examines the development and application of swarm intelligence systems in artificial intelligence as applied to the Internet of Things - Discusses intelligent techniques for the implementation of swarm intelligence in IoT - Prepared for researchers and specialists who are interested in the use and integration of IoT and cloud computing technologies

1

Swarm intelligence algorithms and their applications in Internet of Things

Aliaa R. Raslan¹, Ahmed F. Ali² and Ashraf Darwish³, ¹1Higher Institute for Management Information Systems, Suez, Egypt, ²2Department of Computer Science, Faculty of Computers & Informatics, Suez Canal University, Ismailia, Egypt, ³3Faculty of Science, Helwan University, Cairo, Egypt

Abstract

The Internet of Things (IoT) is a global network. In this network physical objects or things are combined with digital components. It enables these things to connect, aggregate, and interchange data with each other to generate a novel category of services and applications. The IoT network can grow rapidly resulting in an exponential increase in the variety, velocity and the overall volume of data. As a result, there are challenges facing the IoT such as energy, storage, connectivity, security, and privacy. Swarm intelligence (SI) is an artificial intelligence approach which is inspired by natural behavior to solve optimization problems. We review in this paper the implementation of the cluster head process using some proper SI algorithms for improving energy awareness in IoT and expand the network lifetime.

Keywords

Internet of Things (IoT); swarm intelligence algorithms; cluster head selection; global optimization

1.1 Introduction

The Internet of Things (IoT) is considered to be one of the most important technologies that will make a huge change to the world. IoT means that everything (both digital and physical objects) around us is connected via the internet and has the capability to sense, process, connect, and operate. This allows new classes of services and applications [1]. A lot of challenges existing in the IoT need to be solved to achieve such applications and services.

Swarm intelligence (SI) has been inspired by the collective conduct of local interaction between insects or animals like termites, ants, cats, fishes, or birds [2,3]. Many SI algorithms have been proposed and used in efficient manner in a large scope of problems and proved their success in resolving the world’s problem. SI is an important example of algorithms that can transact complicated issues like system problems of the IoT. We can represent systems of IoT like a swarm of devices and combine it with SI algorithms to overcome a lot of challenges [4].

IoT devices work by batteries that are characterized by a limited and nonrenewable energy supply. These devices consume energy during sensing, processing, and transmitting data which leads...

Table of contents

• Cover image
• Title page
• Table of Contents
• Copyright
• List of contributors
• 1. Swarm intelligence algorithms and their applications in Internet of Things
• 2. Swarm intelligence as a solution for technological problems associated with Internet of Things
• 3. Arbitrary walk with minimum length based route identification scheme in graph structure for opportunistic wireless sensor network
• 4. Cyberphysical systems in the smart city: challenges and future trends for strategic research
• 5. A new swarm intelligence framework for the Internet of Medical Things system in healthcare
• 6. Current vulnerabilities, challenges and attacks on routing protocols for mobile ad hoc network: a review
• 7. Swarm intelligence for intelligent transport systems: opportunities and challenges
• 8. Role of Internet of Things and image processing for the development of agriculture robots
• Index