Become a Readings Member to make your shopping experience even easier. Sign in or sign up for free!

Become a Readings Member. Sign in or sign up for free!

Hello Readings Member! Go to the member centre to view your orders, change your details, or view your lists, or sign out.

Hello Readings Member! Go to the member centre or sign out.

 
Paperback

SDN integration for internet of things using WSN and RFID

$90.99
Sign in or become a Readings Member to add this title to your wishlist.

This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

Internet of Things (IoT) has started to touch every aspect of our lives, from home automation, smart factories, energy management systems, precision agriculture to smart city systems, etc. Wireless Sensor Networks (WSN) play an important role in various IoT applications. One of the challenging problems for any WSN design is the lack of flexibility in network management. Software-Defined Networking (SDN) is a new approach that promises a more flexible and dynamically reconfigurable network structures. When designing WSN, the energy problem must also be considered since each device in the network has limited battery capacity. This study proposes a new routing discovery algorithm that allows the SDN-enabled WSN to make smarter routing decisions considering the received signal strength and the remaining energy of the devices. The new architecture employs a fuzzy-based Dijkstra's algorithm when deciding the best path between the source and the destination. The study also introduces a new real-time data analytics architecture for IoT applications, consisting of a WSN and radio frequency identification (RFID)technology in the vertical domain.

Read More
In Shop
Out of stock
Shipping & Delivery

$9.00 standard shipping within Australia
FREE standard shipping within Australia for orders over $100.00
Express & International shipping calculated at checkout

MORE INFO
Format
Paperback
Publisher
Scholars' Press
Date
4 June 2020
Pages
104
ISBN
9786138930310

This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

Internet of Things (IoT) has started to touch every aspect of our lives, from home automation, smart factories, energy management systems, precision agriculture to smart city systems, etc. Wireless Sensor Networks (WSN) play an important role in various IoT applications. One of the challenging problems for any WSN design is the lack of flexibility in network management. Software-Defined Networking (SDN) is a new approach that promises a more flexible and dynamically reconfigurable network structures. When designing WSN, the energy problem must also be considered since each device in the network has limited battery capacity. This study proposes a new routing discovery algorithm that allows the SDN-enabled WSN to make smarter routing decisions considering the received signal strength and the remaining energy of the devices. The new architecture employs a fuzzy-based Dijkstra's algorithm when deciding the best path between the source and the destination. The study also introduces a new real-time data analytics architecture for IoT applications, consisting of a WSN and radio frequency identification (RFID)technology in the vertical domain.

Read More
Format
Paperback
Publisher
Scholars' Press
Date
4 June 2020
Pages
104
ISBN
9786138930310