Journal of Applied Science and Engineering

Published by Tamkang University Press

1.30

Impact Factor

1.60

CiteScore

Ammar AbdRaba Sakran This email address is being protected from spambots. You need JavaScript enabled to view it.1, Ahlam R. Khekan1, Ali Fadhil Rashid2, Suhaib S. Ahmed1, and Jehan Ali Abbas3

1University of Information Technology and Communications, Baghdad, Iraq
2Wasit University, Wasit, Iraq
3Msc Student, Tikrit University, College of Engineering, Electrical Engineering, Tikrit, Iraq


 

Received: May 8, 2021
Accepted: August 16, 2021
Publication Date: October 1, 2021

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.6180/jase.202206_25(3).0002  


ABSTRACT


Mobile sensor networks include different routing protocols. The performance of these routing protocols differs in terms of transmitting and receiving the packets, where it depends on the architecture of each routing protocol. However, despite there are many protocols that have been proposed, but they have not implemented broadly in disasters, where there is a need to study the routing protocols in disasters such as forest fire detection. Therefore, this paper is present a proactive routing protocol called Optimized Link State Routing Protocol (OLSR). This protocol has implemented in the detection of forest fire based on a different number of mobile sensor nodes in the range of 10-50 nodes with an increment step of 10 nodes. Furthermore, the performance of the OLSR protocol is evaluated in terms of Packet Delivery Ratio (PDR), End-to-End Delay (E2E Delay), energy consumption, and routing overhead. The performance of the OLSR protocol shows encouraging results in the detection of forest fire.


Keywords: Mobile sensor networks, routing protocols, OLSR, and forest fire detection


REFERENCES


  1. [1] A. A. Alkhatib, (2014) “A review on forest fire detection techniques" International Journal of Distributed Sensor Networks 10(3): 597368. DOI: 10.1155/2014/597368.
  2. [2] M. T. Basu, R. Karthik, J. Mahitha, and V. L. Reddy, (2018) “IoT based forest fire detection system" International Journal of Engineering & Technology 7(2.7):124–126. DOI: 10.14419/ijet.v7i2.7.10277.
  3. [3] M. Michetti and M. Pinar, (2019) “Forest fires across Italian regions and implications for climate change: a panel data analysis" Environmental and Resource Economics 72(1): 207–246. DOI: 10.1007/s10640-018-0279-z.
  4. [4] M. Ghosh, R. Sushil, and K. Ghosh. “Detecting and reporting forest fire through deployment of three dimensional multi-sink wireless sensor network”. In: 2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU). IEEE. 2019, 1–5. DOI: 10.1109/IoT-SIU.2019.8777485.
  5. [5] F. T. Al-Dhief, N. Sabri, S. Fouad, N. A. Latiff, and M. A. A. Albader, (2019) “A review of forest fire surveillance technologies: Mobile ad-hoc network routing protocols perspective" Journal of King Saud University- Computer and Information Sciences 31(2): 135–146.DOI: 10.1016/j.jksuci.2017.12.005.
  6. [6] S. J. Ramson and D. J. Moni. “Applications of wireless sensor networks—A survey”. In: 2017 international conference on innovations in electrical, electronics, instrumentation and media technology (ICEEIMT). IEEE. 2017, 325–329. DOI: 10.1109/.2005.1467103.
  7. [7] D.-Y. Qin, L. Ma, X.-J. Sha, Y.-B. Xu, et al., (2011) “An Effective Survivable Routing Strategy for MANET" Journal of Applied Science and Engineering 14(1):71–80.
  8. [8] P.-J. Chuang, P.-H. Yen, T.-Y. Chu, et al., (2015) “Enhancing MANET Routing Efficiency by Multipoint Relaying and 2-hop Repair" Journal of Applied Science and Engineering 18(2): 117–128. DOI: 10.6180/jase.2015.18.2.03.
  9. [9] F. T. AL-Dhief, N. Sabri, M. Salim, S. Fouad, and S. Aljunid. “MANET routing protocols evaluation: AODV, DSR and DSDV perspective”. In: MATEC web of conferences. 150. EDP Sciences. 2018, 06024. DOI:10.1051/matecconf/201815006024.
  10. [10] Y. Bai, Y. Mai, and N.Wang. “Performance comparison and evaluation of the proactive and reactive routing protocols for MANETs”. In: 2017 Wireless Telecommunications Symposium (WTS). IEEE. 2017, 1–5.
  11. [11] S. Shruthi. “Proactive routing protocols for a MANET—A review”. In: 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC). IEEE. 2017, 821–827. DOI: 10.1109/ISMAC.2017.8058294.
  12. [12] S. Tripathi and D. B. K. Singh, (2019) “Comparative Study of Reactive Routing Protocols in MANET: A Review" network 6(07):
  13. [13] F. T. AL-Dhief, N. Sabri, N. A. Latiff, N. Malik, M. Abbas, A. Albader, M. A. Mohammed, R. N. ALHaddad, Y. D. Salman, M. Khanapi, et al., (2018) “Performance comparison between TCP and UDP protocols in different simulation scenarios" International Journal of Engineering & Technology 7(4.36): 172–176.
  14. [14] F. T. Al-Dhief, N. M. A. Latiff, N. N. N. A. Malik, N. Sabri, M. A. A. Albadr, and M. M. Jawad. “Power Consumption Efficient Routing Protocol for Forest Fire Detection based on Mobile Sensor Networks”. In: 2019 IEEE 14th Malaysia International Conference on Communication (MICC). IEEE. 2019, 7–12. DOI: 10.1109/MICC48337.2019.9037617.
  15. [15] F. T. AL-Dhief, R. C. Muniyandi, and N. Sabri, (2016) “Performance evaluation of LAR and OLSR routing protocols in forest fire detection using mobile ad-hoc network" Indian Journal of Science and Technology 9(48):
  16. [16] M. Dener, Y. Özkök, and C. Bostancıo˘ glu, (2015) “Fire detection systems in wireless sensor networks" Procedia-Social and Behavioral Sciences 195: 1846–1850.
  17. [17] T. Koga, K. Toyoda, and I. Sasase, (2014) “Priority based routing for forest fire monitoring in wireless sensor network" Journal of Telecommunications and Information Technology (3): 90–97.
  18. [18] A. Jamil, D. J. Parish, R. C.-W. Phan, I. Phillips, J. Whitley, and G. Oikonomou. “Maximise unsafe path routing protocol for forest fire monitoring system using wireless sensor networks”. In: 2012 IEEE 3rd International Conference on Networked Embedded Systems for Every Application (NESEA). IEEE. 2012, 1–8.
  19. [19] M. Keshtgary and N. Rikhtegar. “Performance evaluation of routing protocols for wireless sensor networks in forest fire detection application”. In: The 5th Conference on Information and Knowledge Technology.IEEE. 2013, 248–251.
  20. [20] K. Bouabdellah, H. Noureddine, and S. Larbi, (2013) “Using wireless sensor networks for reliable forest fires detection" Procedia Computer Science 19: 794–801.DOI: 10.1016/j.procs.2013.06.104.
  21. [21] T. Clausen, P. Jacquet, C. Adjih, A. Laouiti, P. Minet, P. Muhlethaler, A. Qayyum, and L. Viennot, (2003) “Optimized link state routing protocol (OLSR)":
  22. [22] S. Gadekar and S. Kadam. “Secure optimized link state routing (OLSR) protocol against node isolation attack”. In: 2017 IEEE international conference on power, control, signals and instrumentation engineering (ICPCSI). IEEE. 2017, 684–687. DOI: 10.1109/ICPCSI.2017.8391800.
  23. [23] A. Nabou, M. D. Laanaoui, and M. Ouzzif, (2021) “New MPR computation for securing OLSR routing protocol against single black hole attack"Wireless Personal Communications 117(2): 525–544. DOI: 10 . 1007 /s11277-020-07881-3.
  24. [24] H. Kanagasundaram and A. Kathirvel, (2019) “EIMOESOLSR: energy efficient and security-based model for OLSR routing protocol in mobile ad-hoc network" IET Communications 13(5): 553–559.
  25. [25] U. Sterner and U. Uppman. “On the robustness of OLSR in a mobile tactical scenario in rural terrain”. In: 2017 International Conference on Military Communications and Information Systems (ICMCIS). IEEE. 2017,1–8.
  26. [26] A.-A. Hashim, M. M. Farhan, and S. Alshybani. “Performance evaluation of OLSR and AODV routing protocols over mobile ad-hoc networks”. In: 2019 First International Conference of Intelligent Computing and Engineering (ICOICE). IEEE. 2019, 1–8. DOI: 10.1109/ICOICE48418.2019.9035171.
  27. [27] L. Zhang, L. Hu, F. Hu, Z. Ye, X. Li, and S. Kumar, (2020) “Enhanced OLSR routing for airborne networks with multi-beam directional antennas" Ad Hoc Networks 102: 102116. DOI: 10.1016/j.adhoc.2020.102116.


    



 

1.6
2022CiteScore
 
 
60th percentile
Powered by  Scopus

SCImago Journal & Country Rank

Enter your name and email below to receive latest published articles in Journal of Applied Science and Engineering.