Activity Based Resource Allocation in IoT for Disaster Management

Kumar, Saurabh; Zaveri, Mukesh A.; Choksi, Meghavi

doi:10.1007/978-3-319-73712-6_22

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…Thus, the more important task is executed first. Naturally, priority-based task scheduling [30] provides better performance while dealing with postdisaster activities [31]. While allocating and scheduling the different resources, it may happen that the deadlock situation arises and starvation for resource occurs.…”

Section: Related Workmentioning

confidence: 99%

Multiobjective Based Resource Allocation and Scheduling for Postdisaster Management Using IoT

Choksi

Zaveri

2019

Wireless Communications and Mobile Computing

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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.

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Section: Related Workmentioning

confidence: 99%

Multiobjective Based Resource Allocation and Scheduling for Postdisaster Management Using IoT

Choksi

Zaveri

2019

Wireless Communications and Mobile Computing

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“…T Kim et al 10 proposed a low-complex greedy algorithm to expedite the scheduling process which considers the node’s lifetime for deciding the active set of nodes. Kumar et al 11 reported resource scheduling during disaster situations. Priority-based stable matching algorithm is used for the allocation of resources for the corresponding activities.…”

Section: Introductionmentioning

confidence: 99%

“…Priority-based stable matching algorithm is used for the allocation of resources for the corresponding activities. 11 Wang et al 12 distributed a resource allocation solution for IoT which using an improved chaotic firefly algorithm that obtains the optimal location and working channel of secondary information gathering stations (SIGSs) to manage interference and resource allocation based on cognitive radio. Connectivity of nodes is critical for the IoT, as data collected need to be sent to the base station (BS).…”

Section: Introductionmentioning

confidence: 99%

Resource scheduling based on routing tree and detection matrix for Internet of things

Bai

Zhang

Liu

et al. 2021

International Journal of Distributed Sensor Networks

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Effective scheduling of limited communication resources is one of the critical methods for data transmission in the Internet of things. However, the time slot utilization rate of many existing resource scheduling methods of Internet of things is not high. This article proposes a new efficient resource scheduling based on routing tree and detection matrix for Internet of things. In heterogeneous Internet of things, according to the different working modes and functions, the nodes are divided into Internet of things devices, routing nodes, and base station. We use time slot multiplexing to improve the time slot utilization of continuous transmission in Internet of things. First, the time slot allocation table in a round is obtained by the time slot scheduling based on the routing tree. Then, the collision matrix and the transmission matrix are established based on the time slot allocation table in a round. Finally, the minimum time slot scheduling in continuous rounds is determined based on the routing tree and the detection matrix. The experimental results show that the resource scheduling based on routing tree and detection matrix effectively improves the utilization of time slots and improves the throughput of the Internet of things.

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Cloud-Based Real Time Data Acquisition in IoT Environment for Post Disaster Management

Choksi

Zaveri

Kumar

et al. 2018

2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT)

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Activity Based Resource Allocation in IoT for Disaster Management

Cited by 4 publications

References 13 publications

Multiobjective Based Resource Allocation and Scheduling for Postdisaster Management Using IoT

Multiobjective Based Resource Allocation and Scheduling for Postdisaster Management Using IoT

Resource scheduling based on routing tree and detection matrix for Internet of things

Cloud-Based Real Time Data Acquisition in IoT Environment for Post Disaster Management

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