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A Compressive Sensing based BEEIP Protocol for WANETS

by Gaganjot Kaur, Sandeep Kad
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 128 - Number 6
Year of Publication: 2015
Authors: Gaganjot Kaur, Sandeep Kad
10.5120/ijca2015906405

Gaganjot Kaur, Sandeep Kad . A Compressive Sensing based BEEIP Protocol for WANETS. International Journal of Computer Applications. 128, 6 ( October 2015), 7-12. DOI=10.5120/ijca2015906405

@article{ 10.5120/ijca2015906405,
author = { Gaganjot Kaur, Sandeep Kad },
title = { A Compressive Sensing based BEEIP Protocol for WANETS },
journal = { International Journal of Computer Applications },
issue_date = { October 2015 },
volume = { 128 },
number = { 6 },
month = { October },
year = { 2015 },
issn = { 0975-8887 },
pages = { 7-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume128/number6/22875-2015906405/ },
doi = { 10.5120/ijca2015906405 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:20:40.101060+05:30
%A Gaganjot Kaur
%A Sandeep Kad
%T A Compressive Sensing based BEEIP Protocol for WANETS
%J International Journal of Computer Applications
%@ 0975-8887
%V 128
%N 6
%P 7-12
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Routing Algorithms in the wireless environment are differentiating into different kinds like Geographical, Geo-casting, Hierarchical, Multi-path, Power-aware, and Hybrid routing algorithms. The typical objective of this paper is to explore Swarm Intelligence based routing protocols especially Bee-Inspired based routing protocols for providing multipath routing in Wireless ad hoc networks (WANETs). WANETs influence an agent-based routing protocol that defines a number of rules including that the majority of the participating nodes follow. Using routing technique, nodes are interconnected jointly so as to reduce computational and resource costs. Swarm Intelligence uses agent-like entities from insect's societies becoming a metaphor to fix the routing problem. Various insects interchange details based on their activities been performed along with the surroundings in which they operate to ensure to perform their tasks within an adaptive, efficient and scalable manner. It has been observed that the Bee-Inspired routing has not yet used compression algorithm to apply the bandwidth in more proficient manner. Therefore this paper proposes a LCBEEIP protocol who has utilized BEEIP protocol along with the feature of Loss Less data compression. The experimental results in the proposed technique have clearly shown that the proposed technique outperforms over the available techniques.

References
  1. Shukla, Jaya, Manoj Alwani, and Anil Kumar Tiwari. "A survey on lossless image compression methods." 2010 2nd International Conference on Computer Engineering and Technology. 2010.
  2. Gautam, Sumanlata, "Swarm Routing Protocol for Mobile Ad Hoc Networks", Advances in Computing, Control and Telecommunication Technologies (ACT), 2010 Second International Conference on. IEEE, 2010
  3. Villalba, LJ García, Delfín Rupérez Cañas, and Ana Lucila Sandoval Orozco, "Bio- inspired routing protocol for mobile ad hoc networks." IET communications4.18 (2010): 2187-2195
  4. Mohseni, Shima, et al. "Comparative review study of reactive and proactive routing protocols in sMANETs." Digital Ecosystems and Technologies (DEST), 2010 4th IEEE International Conference on. IEEE, 2010.
  5. Rahman, Md Arafatur, et al. "A simulation based performance comparison of routing protocol on Mobile Ad-hoc Network (proactive, reactive and hybrid)."Computer and Communication Engineering (ICCCE), 2010 International Conference on. IEEE, 2010.
  6. Dengiz, Orhan, Abdullah Konak, and Alice E. Smith. "Connectivity management in mobile ad hoc networks using particle swarm optimization." Ad Hoc Networks 9.7 (2011): 1312-1326.
  7. Saleem, Muhammad, Gianni A. Di Caro, and Muddassar Farooq, "Swarm intelligence based routing protocol for wireless sensor networks: Survey and future directions." Information Sciences 181.20 (2011): 4597-4624.
  8. Ali, Zulfiqar, and Waseem Shahzad. "Critical analysis of swarm intelligence based routing protocols in adhoc and sensor wireless networks." In Computer Networks and Information Technology (ICCNIT), 2011 International Conference on, pp. 287-292. IEEE, 2011.
  9. Chandrasekhar, U., and P. R. P. Naga. "Recent trends in ant colony optimization and data clustering: A brief survey." In Intelligent Agent and Multi-Agent Systems (IAMA), 2011 2nd International Conference on, pp. 32-36. IEEE, 2011.
  10. Zhang, Fengyuan, et al. "Implementation and optimization of LZW compression algorithm based on bridge vibration data." Procedia Engineering 15 (2011): 1570-1574.
  11. Poongkuzhali, T., V. Bharathi, and P. Vijayakumar. "An optimized power reactive routing based on AODV protocol for Mobile Ad-hoc network." Recent Trends in Information Technology (ICRTIT), 2011 International Conference on. IEEE, 2011.
  12. Tan, Swee Chuan, Kai Ming Ting, and Shyh Wei Teng. "Simplifying and improving ant-based clustering." Procedia Computer Science 4 (2011): 46-55.
  13. Alhasan, Waseem M., et al. "LDW Mean PSO: A new improved particle swarm optimization technique." Computer Engineering Conference (ICENCO), 2011 Seventh International. IEEE, 2011.
  14. Adamu Murtala Zungeru, Li-Minn Ang, Kah Phooi Seng, “Classical and swarm intelligence based routing protocols for wireless sensor networks: A survey and comparison," Journal of Network and Computer Applications 35, (2012): 1508-1536.
  15. Dhivya, M., and M. Sundarambal. "Lifetime Maximization in Wireless Sensor Networks using Tabu Swarm Optimization." Procedia Engineering 38 (2012): 511-516.
  16. Mahmudimanesh, Mohammadreza, Abdelmajid Khelil, and Neeraj Suri. "Balanced spatio-temporal compressive sensing for multi-hop wireless sensor networks." Mobile Adhoc and Sensor Systems (MASS), 2012 IEEE 9th International Conference on. IEEE, 2012.
  17. Sivakumar, D., B. Suseela, and R. Varadharajan. "A survey of routing algorithms for MANET." In Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on, pp. 625-640. IEEE, 2012.
  18. Santhiya, K. G., and N. Arumugam. "A novel adaptive bio-inspired clustered routing for MANET." Procedia Engineering 30 (2012): 711-717.
  19. Kumar, Deepak, Ashutosh Srivastava, and S. C. Gupta. "Performance comparison of pro-active and reactive routing protocols for MANET."Computing, Communication and Applications (ICCCA), 2012 International Conference on. IEEE, 2012.
  20. Ismail, Nurul Halimatul Asmak, and Rosilah Hassan. "6LoWPAN local repair using bio inspired artificial bee colony routing protocol." Procedia Technology11 (2013): 281-287.
  21. Sharma, Dhirendra Kumar, Chanchal Kumar, and Srimanta Mandal. "An efficient cluster based routing protocol for MANET." Advance Computing Conference (IACC), 2013 IEEE 3rd International. IEEE, 2013.
  22. Rufai, Awwal Mohammed, Gholamreza Anbarjafari, and Hasan Demirel. "Lossy medical image compression using Huffman coding and singular value decomposition." Signal Processing and Communications Applications Conference (SIU), 2013 21st. IEEE, 2013.
  23. Asaju la ARO Bolaji, Ahamad Tajudin Khader, Mohammed Azmi al-Betar and Mohammed A. Awadallah, “Artificial Bee Colony Algorithm, Its Variants and Applications: A Survey”, Journal of Theoretical and Applied Information Technology, Volume 47, 2013: 434-459.
  24. Aarti, Dr S.S Tyagi, “Study of MANET: Characteristics, Challenges, Application and Security Attacks”, International Journal of Advanced Research in Computer Science and Software Engineering,Volume 3, Issue 5, May 2013,pp 252-257.
  25. Kiatwuthiamorn, Jiraporn, and Arit Thammano. "A Novel Optimization Algorithm based on the Natural Behavior of the Ant Colonies." Procedia Computer Science 20 (2013): 90-95.
  26. Nandi, Utpal, and Jyotsna Kumar Mandal. "Modified compression techniques based on optimality of LZW code (MOLZW)." Procedia Technology 10 (2013): 949-956.
  27. Singh, Gurpreet, Neeraj Kumar, and Anil Kumar Verma, "ANTALG: An Innovative ACO based Routing Algorithm for MANETs." Journal of Network and Computer Applications 45 (2014): 151-167.
  28. Yahya Tashtoush a,*, Omar Darwish a, Mohammad Hayajneh b, “Fibonacci Sequence Based Multipath Load Balancing Approach for mobile ad hoc network”, journal, 2014
  29. Gupta, Kunal, Mukesh Sharma, and Parmanand Sharma. "Lossless compression based Kmp technique." Optimization, Reliabilty, and Information Technology (ICROIT), 2014 International Conference on. IEEE, 2014.
  30. Ramamoorthy, H. Vignesh, and H. Karthikeyani. "Hybrid routing scheme of multi agent ant based system in MANET combination of proactive and reactive." Information Communication and Embedded Systems (ICICES), 2014 International Conference on. IEEE, 2014.
  31. Alexandros Giagkos, and Myra S. Wilson, "BEEIP –Swarm Intelligence based routing for wireless ad hoc networks", Information Sciences 265 (2014): 23-35.
  32. ZainEldin, Hanaa, Mostafa A. Elhosseini, and Hesham A. Ali. "Image compression algorithms in wireless multimedia sensor networks: A survey." Ain Shams Engineering Journal (2014).
  33. John, Jomy, and R. Pushpalakshmi. "A reliable optimized clustering in MANET using Ant Colony algorithm." Communications and Signal Processing (ICCSP), 2014 International Conference on. IEEE, 2014.
  34. Vanthana, S., and V. Prakash. "Comparative study of proactive and reactive adhoc routing protocols using NS2." Computing and Communication Technologies (WCCCT), 2014 World Congress on. IEEE, 2014.
  35. Jiang, Weichang, Yating Zhang, and Ruihua Wang. "Comparative study on several PSO algorithms." Control and Decision Conference (2014 CCDC), The 26th Chinese. IEEE, 2014.
  36. Zuo, Zhiyong, et al. "An Improved Medical Image Compression Technique with Lossless Region of Interest." Optik-International Journal for Light and Electron Optics (2015).
  37. Chłopkowski, Marek, and Rafał Walkowiak. "A general purpose lossless data compression method for GPU." Journal of Parallel and Distributed Computing75 (2015): 40-52.
Index Terms

Computer Science
Information Sciences

Keywords

WANETs BEEIP Lossy Compression Lossless Compression

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