2024
doi: 10.12720/jait.15.9.1001-1010
Improving the Battery Life of Mobile Adhoc Networks through Quality of Service Parameters
S. Hemalatha1,*
,
K. Valarmathi2 ,
G. Nagappan3 ,
N. Muthuvairavan Pillai4 ,
Lakshmana Phaneendra Maguluri5 ,
I. V. Veeranjaneyulu6
- 1Department of Computer Science and Business System, Panimalar Engineering College, Chennai, India
- 2Department of Computer Science and Engineering, Panimalar Engineering College, Chennai, India
- 3Department of Computer Science and Engineering, Saveetha Engineering College (Autonomous), Chennai, India
- 4Department of Computer Science and Business Systems, R.M.D Engineering College, Kavaraipettai, India
- 5Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India
- 6Department of Electrical and Electronics Engineering, Aditya Engineering College, Surampalem, India
- Manuscript receivedNovember 8, 2023
- revisedJanuary 19, 2024
- acceptedFebruary 2, 2024
- publishedSeptember 5, 2024
Abstract
Because each node runs on its own node power, power management in a wireless network is a time-consuming procedure, especially in a Mobile Adhoc Network. The entire communication system breaks when the internal battery dies. Several ways are given to improve the performance of Mobile Adhoc Network (MANET) battery management, which might be utilized to evaluate MANET performance metrics. This article proposed new techniques for using internal node parameters and forming the cluster head node, a small change in MANET working principles called sleep and awake node management in MANET, choosing the best route for forwarding packets by one node among clustering to improve battery lifetime, which is accomplished through collaborative route management among the nodes. The NS-3 is used to simulate the suggested work, Forwarding Packet based on Wireless Parameter Adhoc On Demand Vector called FPWP-AODV, and the outcomes are compared with the current AODV protocol, for analyzing the power utilization, node connectivity, delay, node mobility, throughput, packet delivery ratio, end to end delay, energy consumed, cluster accuracy, cluster head life time, and network lifetime which offers better performance and maximizes battery life comparing with the existing Adhoc On Demand Vector (AODV) protocol from 60% to 75%. In feature this work could be carried out to compare with other kind of MANET protocol to produce the best protocol for proposed cluster head based energy optimization method.
Keywords
- Mobile Adhoc Network (MANET)
- sleep and awake
- battery life time
- route management
- forwarded packet
- cluster head
How to Cite
S. Hemalatha, K. Valarmathi, G. Nagappan, N. Muthuvairavan Pillai, Lakshmana Phaneendra Maguluri, and I. V. Veeranjaneyulu, "Improving the Battery Life of Mobile Adhoc Networks through Quality of Service Parameters," Journal of Advances in Information Technology, vol. 15, no. 9, pp. 1001-1010, 2024. https://doi.org/10.12720/jait.15.9.1001-1010
Copyright & License
Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
