Abstract
Effective management and control of large-scale networks can be challenging in the absence of appropriate resource allocation. This paper presents a framework for highlighting the significance of resource allocation in mobile, wireless, and ad hoc networks. The model has been designed to incorporate a clustering protocol and a schedule-based resource allocation algorithm, resulting in the establishment of a multi-objective framework. The proposed framework places a significant emphasis on the allocation of energy and distance, with a focus on minimizing these objectives. Each node is separated into several clusters where individual energy is allocated and the cluster head in each cluster allows the nodes to communication with shortest distance. For the transmitted information the speed of transmission is maximized thus more amount of time period is saved where stability factor is maximized. To test the allocated resources in the network the proposed method compares and evaluates the parametric outcomes with existing method based on five scenarios. In the comparative analysis it is observed that proposed method can able to maximize the life time and quality of service for all networks with optimized range of 84%.
More Information
Divisions: | School of Built Environment, Engineering and Computing |
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Identification Number: | https://doi.org/10.1007/s11276-023-03499-y |
Status: | Published |
Refereed: | Yes |
Publisher: | Springer |
Additional Information: | This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s11276-023-03499-y |
Uncontrolled Keywords: | 0805 Distributed Computing, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies, Networking & Telecommunications, |
Depositing User (symplectic) | Deposited by Mann, Elizabeth |
Date Deposited: | 18 Jan 2024 12:19 |
Last Modified: | 05 Oct 2024 04:04 |
Item Type: | Article |
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