Reducing Transmission Signal Collisions on Optimized Link State Routing Protocol Using Dynamic Power Transmission
Abstract
Many devices connected to a network inevitably result in clashes between communication signals. These collisions are an important factor that causes a decrease in network performance, especially affecting Quality of Service (QoS) like throughput, Packet Delivery Ratio (PDR), and end-to-end de- lay, which has a direct impact on the success of data transmission by potentially causing data loss or damage. The aim of this research is to integrate the Dynamic Power Transmission (DPT) algorithm into the Optimized Link State Routing (OLSR) routing protocol to regulate the communication sig- nal strength range. The DPT algorithm dynamically adapts the signal coverage distance based on the density of neighboring nodes to reduce signal collisions. In our protocol, the basic mechanism of a DPT algorithm includes four steps. The Hello message structure of OLSR has been modified to incorporate the ”x-y position” coordinate field data. Nodes calculate distances to neighbors using these coordinates, which is crucial for route discovery, where all nearby nodes can process route re-quests. The results of this research are that DPT-OLSR improves network efficiency in busy areas. In particular, the DPT-OLSR routing protocol achieves an average throughput enhancement of 0.93%, a 94.79% rise in PDR, and reduces end-to-end delay by 45.69% across various variations in node density. The implication of this research result is that the algorithm proposed automatically adapts the transmission power of individual nodes to control the number of neighboring nodes within a de-fined range. This effectively avoids unwanted interference, unnecessary overhearing, and excessive processing by other nodes, ultimately boosting the network’s overall throughput.
Downloads
References
dan AOMDV Standar di Jaringan MANET,” Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA), vol. 5, no. 1, pp.
112–119, 2023, https://doi.org/10.29303/jtika.v5i1.293.
Matrik: Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer,
Vol. 24,
[2] A. Kaszuba-Che¸ci´nska, R. Che¸ci´nski, P. Gajewski, and J. Łopatka, “Cognitive Radio MANET Waveform Design and Evaluation,”
Sensors, vol. 21, no. 4, p. 1052, feb 2021, https://doi.org/10.3390/s21041052.
[3] A. M. Soomro, M. F. B. M. Fudzee, M. Hussain, H. M. Saim, G. Zaman, A.-u.-R. Atta-ur Rahman, H. AlUbaidan, and M. Nabil,
“Comparative Review of Routing Protocols in MANET for Future Research in Disaster Management,” Journal of Communications,
pp. 734–744, 2022, https://doi.org/10.12720/jcm.17.9.734-744.
[4] M. Laanaoui and S. Raghay, “Enhancing OLSR Protocol by an Advanced Greedy Forwarding Mechanism for VANET in Smart
Cities,” Smart Cities, vol. 5, no. 2, pp. 650–667, may 2022, https://doi.org/10.3390/smartcities5020034.
[5] W. Zhang and S. Jiang, “Effect of Node Mobility on MU-MIMO Transmissions in Mobile Ad Hoc Networks,” Wireless Communications
and Mobile Computing, vol. 2021, pp. 1–9, may 2021, https://doi.org/10.1155/2021/9954940.
[6] R. Dion´ısio, F. Ribeiro, and J. Metrˆolho, “Radio Interference of Wireless Networks and the Impact of AR/VR Applications in
Industrial Environments,” Electronics, vol. 12, no. 1, p. 67, dec 2022, https://doi.org/10.3390/electronics12010067.
[7] P. Mittal, S. Shah, A. Agarwal, D. Mishra, and S. Debnath, “Interference Aware Joint Power Control and Routing Optimization
in Multi-UAV FANETs,” Ad Hoc Networks, vol. 150, p. 103280, nov 2023, https://doi.org/10.1016/j.adhoc.2023.103280.
[8] A. M. Bamhdi, “Efficient dynamic-power AODV routing protocol based on node density,” Computer Standards & Interfaces,
vol. 70, p. 103406, jun 2020, https://doi.org/10.1016/j.csi.2019.103406.
[9] Desyra Ardiani, Andy Hidayat Jatmika, and Ariyan Zubaidi, “Modifikasi Protokol Routing DSDV Menggunakan Algoritma
Dynamic-power transmission untuk Mengurangi Interferensi Sinyal dalam Pengiriman Data Berdasarkan Tingkat Kepadatan
Node di Jaringan MANET,” J-COSINE (Journal of Computer Science and Informatics Engineering), vol. 7, no. 2, pp. 125–133,
2023, https://doi.org/10.29303/jcosine.v7i2.489.
[10] S. A.-S. A. A. B. Shadia S. Baloch, Kainat Soomro and S. K. Baloch, “Efficient Optimization of Adaptive Transmission Range
in Manets to Maximize the Packet Delivery Ratio,” International Journal of Innovations in Science & Technology, vol. 5, no. 3,
pp. 270–283, 2023.
[11] U. Zeb, W. U. Khan, S. Irfanullah, and A. Salam, “The Impact of Transmission Range on Performance of Mobile Ad-hoc
Network Routing Protocols,” in 2020 3rd International Conference on Computing, Mathematics and Engineering Technologies
(iCoMET). IEEE, jan 2020, pp. 1–4, https://doi.org/10.1109/iCoMET48670.2020.9074090.
[12] K. Y. Cett, N. A. Mahiddin, F. F. Mohd Affandi, R. Hasyifah Raja Bongsu, and A. Hayati, “Performance Analysis of OLSR
Protocol in Manet Considering Different Mobility Speed and Network Density,” International Journal of Wireless & Mobile
Networks, vol. 13, no. 6, pp. 21–32, dec 2021, https://doi.org/10.5121/ijwmn.2021.13602.
[13] Jadhav Purushottam Sadashiv and Dr. E. Kanniga, “Performance Analysis of AODV, DSR & OLSR Protocols in MANET,”
International Journal of Future Generation Communication and Network, vol. 14, p. 9, 2021.
[14] Udaya Kumar Addanki and B. Hemantha Kumar, “Hybrid Optimization of OLSR Routing Protocol in MANETs: Uniting Genetic
Algorithm and Particle Swarm Optimization,” International Journal of Intelligent Systems and Application in Engineering,
pp. 131–141, 2023.
[15] A. H. Wheeb and N. A. Al-jamali, “Performance Analysis of OLSR Protocol in Mobile Ad Hoc Networks,” International
Journal of Interactive Mobile Technologies (iJIM), vol. 16, no. 01, pp. 106–119, jan 2022, https://doi.org/10.3991/ijim.v16i01.
26663.
[16] A. Nabou, M. D. Laanaoui, and M. Ouzzif, “New MPR Computation for Securing OLSR Routing Protocol Against Single
Black Hole Attack,” Wireless Personal Communications, vol. 117, no. 2, pp. 525–544, mar 2021, https://doi.org/10.1007/
s11277-020-07881-3.
[17] J. Muratovic, K. Josic, and S. Papic, “Analysis of the impact of electromagnetic interference on the performance of a household
wireless network,” in 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO).
IEEE, sep 2021, pp. 519–522, https://doi.org/10.23919/MIPRO52101.2021.9597120.
[18] T. K. Priyambodo, D. Wijayanto, and M. S. Gitakarma, “Performance Optimization of MANET Networks through Routing
Protocol Analysis,” Computers, vol. 10, no. 1, pp. 2-13, dec 2020, https://doi.org/https://10.3390/computers10010002
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.