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Novel Metaheurist Technique for Attack Detection Technique in Wireless Multimedia Sensor Networks

by Sandeep Kaur, Research Scholar, Tejinder Sharma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 44
Year of Publication: 2019
Authors: Sandeep Kaur, Research Scholar, Tejinder Sharma
10.5120/ijca2019918563

Sandeep Kaur, Research Scholar, Tejinder Sharma . Novel Metaheurist Technique for Attack Detection Technique in Wireless Multimedia Sensor Networks. International Journal of Computer Applications. 182, 44 ( Mar 2019), 17-22. DOI=10.5120/ijca2019918563

@article{ 10.5120/ijca2019918563,
author = { Sandeep Kaur, Research Scholar, Tejinder Sharma },
title = { Novel Metaheurist Technique for Attack Detection Technique in Wireless Multimedia Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2019 },
volume = { 182 },
number = { 44 },
month = { Mar },
year = { 2019 },
issn = { 0975-8887 },
pages = { 17-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number44/30445-2019918563/ },
doi = { 10.5120/ijca2019918563 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:14:15.049933+05:30
%A Sandeep Kaur
%A Research Scholar
%A Tejinder Sharma
%T Novel Metaheurist Technique for Attack Detection Technique in Wireless Multimedia Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 44
%P 17-22
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

WMSN is definitely a special type of WSN which will good sense and move scalar data in addition to multi-media data, which is, impression, audio, and online video revenues, within real-time in addition to non-real-time. In WMSN, the goal is to send information from a source to a destination node in peer-to-peer connection through intermediate mobile nodes, i.e., across multiple hops. In this paper, a novel metaheuristic technique i.e., triangular mutation based particle swarm optimization is proposed to detect attacks in wireless multimedia networks. The performance of the original Triangle link quality metric and minimum inter-path Interference based Geographic Multipath Routing (TIGMR) protocol based geographic multipath routing is compared with this new implemented approach, called here as An Ad Hoc On-Demand Distance Vector (AODV)-PSO. Two metrics were used to evaluate the performance of the algorithm: Bit Error Rate. We observed that the AODV-PSO outperformed the original AODV protocol in the scenarios studied in this paper.

References
  1. G. Di Caro and M. Dorigo, “AntNet: distributed stigmergeticcontrol for communications networks,” Journal of ArtificialIntelligence Research, vol. 9, pp. 317–365, 1998.
  2. A. Rahman, R. Ghasemaghaeil, A. El Saddikl, and W. Gueaieb,“M-IAR: biologically inspired routing protocol for wirelessmultimediasensor networks,” in Proceedings of the Instrumentation andMeasurement Technology Conference (IMTC ’08), pp. 1823–1827, Victoria, Canada, 2008.
  3. Y. Sun, H. Ma, L. Liu, and Y. Zheng, “ASAR: an ant-basedservice-aware routing algorithm for multimedia sensor networks,”Frontiers of Electrical and Electronic Engineering inChina, vol. 3, no. 1, pp. 25–33, 2008.
  4. J. Bi, Z. Li, and R. Wang, “An ant colony optimizationbasedload balancing routing algorithm for wirelessmultimediasensor networks,” in Proceedings of the IEEE 12th InternationalConference on Communication Technology (ICCT ’10), pp. 584–587, Nanjing, China, 2010.
  5. X. Yu, J. Luo, and J. Huang, “An ant colony optimizationbasedQoS routing algorithm for wireless multimedia sensornetworks,”in Proceedings of the 3rd International Conference onCommunication Software and Networks (ICCSN ’11), pp. 37–41,IEEE, Xi’an, China, 2011.
  6. L.Cobo, A.Quintero, andS.Pierre, “Ant-based routing forwirelessmultimedia sensor networks using multiple QoSmetrics,”Computer Networks, vol. 54, no. 17, pp. 2991–3010, 2010.
  7. A.Nayyar, F.Bashir, Ubaid-Ur-Rehman, and Z. Hamid, “Intelligentrouting protocol for multimedia sensor networks,” inProceedings of the 5th International Conference on InformationTechnology and Multimedia (ICIM ’11), pp. 1–6, Kuala Lumpur, Malaysia, 2011.
  8. S. Kumar, M.Dave, and S.Dahiya, “ACObasedQoS aware routingfor wireless sensor networks with heterogeneous nodes,” inEmerging Trends in Computing and Communication, vol. 298, pp. 157–168, Springer,Berlin, Germany, 2014.
  9. M. Liu, S. Xu, and S. Sun, “An agent-assisted QoS-based routingalgorithmfor wireless sensor networks,” Journal of Network andComputer Applications, vol. 35, no. 1, pp. 29–36, 2012.
  10. H. Huang, X. Cao, R.Wang, and Y.Wen, “A QoS-aware routingalgorithm based on ant-cluster in wireless multimedia sensornetworks,” Science China Information Sciences, vol. 57, no. 10,pp. 1–16, 2014.
  11. A. Forster and A. L. Murphy, “FROMS: feedback routing for optimizing multiple sinks in WSN with reinforcementlearning,” in Proceedings of the 3rd International Conference onIntelligent Sensors, Sensor Networks and Information (ISSNIP’07), pp. 371–376, IEEE, Melbourne, Australia, 2007.
  12. K. Kotecha and S. Popat, “Multi objective genetic algorithmbased adaptive QoS routing in MANET,” in Proceedings of theIEEE Congress on Evolutionary Computation (CEC ’07), pp.1423–1428, Singapore, 2007.
  13. M. Saleem, I. Ullah, and M. Farooq, “BeeSensor: an energyefficientand scalable routing protocol for wireless sensornetworks,” Information Sciences, vol. 200, pp. 38–56, 2012.
  14. X. Cai, Y. Duan, Y. He, J. Yang, and C. Li, “Bee-sensor-C:an energy-efficient and scalable multipath routing protocol forwireless sensor networks,” International Journal of DistributedSensor Networks, vol. 2015,Article ID 976127, 14 pages, 2015.
  15. S. Z. Jafarzadeh and M. H. Y. Moghaddam, “Design ofenergy-aware QoS routing protocol in wireless sensor networksusing reinforcement learning,” in Proceedings of the IEEE 27thCanadian Conference on Electrical and Computer Engineering(CCECE ’14), pp. 1–5, Toronto, Canada, May 2014.
  16. F. Kiani, E. Amiri, M. Zamani, T. Khodadadi, and A. A. Manaf,“Efficient intelligent energy routing protocol in wireless sensornetworks,” International Journal of Distributed Sensor Networks,vol. 2015, Article ID618072, 13 pages, 2015.
  17. S. Ehsan and B. Hamdaoui, “A survey on energy-efficient routing techniques with QoS assurances for wireless multimedia sensor networks,” IEEE Communications Surveys and Tutorials, vol. 14, no. 2, pp. 265–278, 2012.
  18. A. Alanazi and K. Elleithy, “Real-time QoS routing protocols in wireless multimedia sensor networks: study and analysis,” Sensors, vol. 15, no. 9, pp. 22209–22233, 2015.
  19. S. AswaleandV. R.Ghorpade, “Survey ofQoS routing protocolsin wireless multimedia sensor networks,” Journal of ComputerNetworks and Communications,Article ID 824619, 29pages, 2015.
  20. J. Wang, Y. Zhang, J. Wang, Y. Ma, and M. Chen, “PWDGR:pair-wise directional geographical routing based on wirelesssensor network,” I
  21. EE Internet of Things Journal, vol. 2, no. 1,pp. 14–22, 2015.
  22. Han R, Yang W, You K. “MB-OFDM-UWB based wireless multimedia sensor networks for underground coal mine a survey” vol. 16, issue 12, pp. 2158, 2016
  23. Nguyen, Khanh-Van, Phi Le Nguyen, QuocHuy Vu, and Tien Van Do. "An energy efficient and load balanced distributed routing scheme for wireless sensor networks with holes.",vol. 123, pp. 92-105, Journal of Systems and Software, 2017
  24. Al-Turjman, F., “QoS—aware data delivery framework for safety-inspired multimedia in integrated vehicular-IoT”,vol. 121, pp.33-43, Computer Communications,2018.
  25. Aswale, Shailendra, and Vijay R. Ghorpade, "Geographic Multipath Routing based on Triangle Link Quality Metric with Minimum Inter-path Interference for Wireless Multimedia Sensor Networks, "Journal of King Saud University – Computer and Information Sciences 2018.
  26. N. Abbas and F. Yu, "Design and Implementation of a Video Surveillance System for Linear Wireless Multimedia Sensor Networks," 2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC), Chongqing, 2018, pp. 524-527.
  27. N. Abbas, F. Yu and U. Majeed, "Reliability and End-to-End Delay Evaluation of Outdoor and Indoor Environments for Wireless Multimedia Sensor Networks," 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), Xi'an, 2018, pp. 764-768.
  28. N. Patel and J. Chaudhary, "Enhancing Multimedia Compression and Transmission Technique to Aid Energy Efficient Wireless Multimedia Sensor Network," 2018 International Conference On Advances in Communication and Computing Technology (ICACCT), Sangamner, 2018, pp. 378-383.
  29. J. Wang, K. Wang, J. Niu and W. Liu, "A K-medoids based clustering algorithm for wireless sensor networks," 2018 International Workshop on Advanced Image Technology (IWAIT), Chiang Mai, 2018, pp. 1-4.
  30. Y. Chatei, I. Maslouhi, K. Ghoumid and E. M. Ar-reyouchi, "Performance enhancement of wireless sensor networks using an efficient coding approach," 2018 6th International Conference on Multimedia Computing and Systems (ICMCS), Rabat, 2018, pp. 1-5.
  31. T. Lin, H. Tseng, Y. Wen, F. Lai, C. Lin and C. Wang, "Reconstruction Algorithm for Lost Frame of Multiview Videos in Wireless Multimedia Sensor Network Based on Deep Learning Multilayer Perceptron Regression," in IEEE Sensors Journal, vol. 18, no. 23, pp. 9792-9801, 1 Dec.1, 2018.
  32. R. B. Agnihotri, N. Pandey and S. Verma, "Analysis of behavior of MAC protocol and Simulation of different MAC protocol and proposal protocol for wireless sensor network," 2018 4th International Conference on Computational Intelligence & Communication Technology (CICT), Ghaziabad, 2018, pp. 1-6.
Index Terms

Computer Science
Information Sciences

Keywords

Wireless Multimedia Sensor Network Triangular Mutation based Particle Swarm optimization (PSO and AODV routing protocol.

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