Collaborative Processing Using the Internet of Things for Post-Disaster Management

Abstract

In the last few years, disasters have caused a significant amount of damage to many infrastructures, and many lives are lost worldwide. These disasters are classified as either natural or man-made and have resulted in a negative impact on the economies all around the world. The governments of the world have been focusing on developing an integrated post-disaster management practice, which would help them in performing efficient operations whenever disasters occur. There are two major activities associated with handling disaster situations, namely, response and recovery operations. These operations need the acquisition of data and information about the disasters in real time. Due to the evolution of IP-based communication, the Internet of Things environment is well suited to perform data acquisition and transmission in real time. However, the smart devices may vary in their characteristics and operating efficiencies, thus requiring collaborative processing to be done among these devices. It needs a framework that supports the identification and integration of services offered by smart devices. Moreover, in the post-disaster scenarios, the deployment of devices is a critical challenge, which can be further aligned with the real-time localization of intelligent devices and events occurring in the region. In this context, this chapter discusses the concepts of layered IoT framework, a novel quasi-based deployment of nodes, and the need for localization of nodes and events to provide autonomous services using the Internet of Things for post-disaster management.