Multiobjective Based Resource Allocation and Scheduling for Postdisaster Management Using IoT

Abstract

Disaster is an uncertain phenomenon that arises due to natural as well as man-made calamities. Disaster often causes a high degree of destruction, especially in a very densely populated region. To handle such a situation, efficient resource management strategies are required. Resource management is the most crucial phase of disaster management. Efficient and in-time allocation of resources is very important; otherwise, it may result in more fatalities. In this context, we propose the resource management algorithm, which deals with both over-and underdemand for resources. Resource management requires efficient resource allocation, and in case of overdemand for resources, it must be followed by resource scheduling. In this paper, we introduce a resource allocation technique which is based on multiple objectives having a different set of constraints. We also propose the resource scheduling algorithm based on various parameters. The proposed algorithm uses multiobjective theory for resource allocation which is followed by the implementation of priority-based scheduling technique, in the case of overdemand for resources. Our proposed methods are compared to the existing approaches in the literature. From the simulation results, it is clear that our methods perform optimum resource allocation and scheduling operations.

Technology of Internet of Things Responding to Natural Disasters

“…Disaster management is the most critical stage of disaster management. A little neglect will cause irreversible consequences [32]. Resource management includes two important tasks, namely resource allocation and resource management [32].…”

“…A little neglect will cause irreversible consequences [32]. Resource management includes two important tasks, namely resource allocation and resource management [32]. When disasters occur, resource management requires efficient resource allocation [32].…”

“…Resource management includes two important tasks, namely resource allocation and resource management [32]. When disasters occur, resource management requires efficient resource allocation [32]. Relatively, important activities should be given sufficient attention during resource scheduling.…”

Analysis and Optimization of Asymmetric Wireless Power Transfer in Concrete

“…In recent years, Internet of things (IoT) technology has been applied in many fields of our life. With the development of application, different IoT specifications and semantic mobile computing technologies have emerged [1][2][3]. The stable power supply of each part is the basis for realizing the service interoperability between different platforms.…”

A Simulation Framework for Controlled Critical Infrastructures Subject to Natural Disasters

“…The interdependency between such infrastructures have been considered in light of service restoration [1]. Studies involving the use of either genetic or heuristic algorithms for the problem of resource allocation during a disaster event with a focus on objective based optimization were investigated and presented in [2], [3], [13], [14] and [16]. Hence resource allocation proves to be a critical challenge as it relates to the distribution of resources in a situation where resources are limited and the decisions made can affect the loss of life.…”