Skip to main content

Reduction in Resource Consumption to Enhance Cooperation in MANET Using Compressive Sensing

  • Conference paper
  • First Online:
  • 885 Accesses

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 44))

Abstract

Energy and bandwidth are the scarce resource in a wireless network. In order to prolong its life nodes drop packets of others to save these resources. These resources are the major cause of selfish misbehavior or noncooperation. To enforce nodes cooperation this paper presents the reduction in resource consumption using Compressive Sensing. Our model compresses the neighborhood sparse data such as routing table updates and other advertisement. We have divided a MANET in terms of the neighborhood called neighborhood group (NG). Sparse data are compressed by neighborhood node and then forwarded to the leader node. The leader node joins all neighborhood data to reconstruct the original data and then broadcasts in its neighborhood. This gives a reduction in resource consumption because major computations are performed at leader end which saves battery power of neighborhood nodes. It compresses sparse data before transmission thus reduces the amount of transmitting data in the network which saves the total energy consumption to prolong life of the network. It also prevents from several attacks because individual nodes do not accept the advertisement and updates directly rather it uses leader node processed information.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Anusas-Amornkul, T.: On detection mechanisms and their performance for packet dropping attack in ad hoc networks. ProQuest (2008)

    Google Scholar 

  2. Wang, Y.: Enhancing node cooperation in mobile wireless ad hoc networks with selfish nodes. University of Kentucky, Doctoral Dissertations. Paper 602 (2008). http://uknowledge.uky.edu/gradschool_diss/602

  3. Candes, E.: Compressive sampling. In: Proceedings of International Congress of Mathematicians, pp. 1433–1452. Mathematical Society Publishing House (2006)

    Google Scholar 

  4. Donoho, D.L.: Compressed sensing. IEEE Trans. Inf. Theory 52(4), 1289–1306 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  5. Saeed, N.H., Abbod, M.F., Al-Raweshidy, H.S.: IMAN: an Intelligent MANET routing system. In: Proceedings of the IEEE 17th International Conference on Telecommunications (ICT), pp. 401–404. IEEE (2010)

    Google Scholar 

  6. Saeed, N.: Intelligent MANET optimisation system. Ph.D. Thesis, School of Engineering and Design, Electronic and Computer Engineering Department, Brunel University, Brunel University (2011)

    Google Scholar 

  7. Chiang, T.C., Tsai, H.M., Huang, Y.M.: A partition network model for ad hoc networks. In: IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, 2005 (WiMob’2005), vol. 3, pp. 467–472. IEEE (2005)

    Google Scholar 

  8. Lopez, J., Barceló, J.M., García-Vidal, J.: Subnet formation and address allocation approach for a routing with subnets scheme in MANETs. In: Wireless Systems and Network Architectures in Next Generation Internet, pp. 62–77. Springer, Berlin (2006)

    Google Scholar 

  9. Chowdhury, M.A.H., Ikram, M., Kim, K.H.: Secure and survivable group communication over MANET using CRTDH based on a virtual subnet model. In: Asia-Pacific Services Computing Conference, (APSCC’08), pp. 638–643. IEEE (2008)

    Google Scholar 

  10. Chang, C.W., Yeh, C.H., Tsai, C.D.: An efficient authentication protocol for virtual subnets on mobile ad hoc networks. In: International Symposium on Computer Communication Control and Automation (3CA), vol. 2, pp. 67–70. IEEE (2010)

    Google Scholar 

  11. Vilhekar, A.A., Jaidhar, C.D.: Modified authentication protocol using elliptic curve cryptosystem for virtual subnets on mobile adhoc networks. In: Wireless Communications and Applications, pp. 426–432. Springer, Berlin Heidelberg (2012)

    Google Scholar 

  12. Akhtar, M.A.K., Sahoo, G.: A novel methodology for securing ad hoc network by friendly group model. In: Computer Networks and Communications (NetCom), vol. 131, pp. 23–35. Springer (2013)

    Google Scholar 

  13. Lee, S., Pattem, S., Sathiamoorthy, M., Krishnamachari, B., An Ortega, A.: Compressed sensing and routing in multi-hop networks. University of Southern California CENG Technical Report (2009)

    Google Scholar 

  14. Chou, C.T., Rana, R., Hu, W.: Energy efficient information collection in wireless sensor networks using adaptive compressive sensing. In: Proceedings of 34th Conference on Local Computer Networks, (LCN 2009), pp. 443–450. IEEE (2009)

    Google Scholar 

  15. Feizi, S., Médard, M., Effros, M.: Compressive sensing over networks. In: Proceedings of 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp. 1129–1136. IEEE (2010)

    Google Scholar 

  16. Zhang, L., Luo, J., Guo, D.: Neighbor discovery for wireless networks via compressed sensing. Performance Evaluation (2012)

    Google Scholar 

  17. Xiong, J., Zhao, J., Xuan, L.: Research on the combining of compressed sensing and network coding in wireless sensor network. J. Theor. Appl. Inform. Technol. 47(3) (2013)

    Google Scholar 

  18. Aziz, A., Salim, A., Osamy, W.: Adaptive and efficient compressive sensing based technique for routing in wireless sensor networks. In: The INTHITEN (INternet of THings and ITs ENablers) Conference, The Bonch-Bruevich State University of Telecommunications (SUT), St Petersburg, Russia (2013)

    Google Scholar 

  19. Zheng, H., Wang, X., Tian, X., Xiao, S.: Data gathering with compressive sensing in wireless sensor networks: an in-network computation perspective (2012). http://iwct.sjtu.edu.cn/Personal/xwang8/paper/INFCOM2012_InNetworkComputation_techreport.pdf

  20. Zheng, H., Xiao, S., Wang, X., Tian, X.: Energy and latency analysis for in-network computation with compressive sensing in wireless sensor networks. In: Proceedings of the INFOCOM, pp. 2811–2815. IEEE (2012)

    Google Scholar 

  21. Tropp, J.A., Gilbert, A.C.: Signal recovery from random measurements via orthogonal matching pursuit. IEEE Trans. Inf. Theory 53(12), 4655–4666 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  22. Singh, A.K., Sharma, S.: Elite leader finding algorithm for MANETs. In: Proceedings of the 10th International Symposium on Parallel and Distributed Computing (ISPDC), pp. 125–132. IEEE (2011)

    Google Scholar 

  23. Mohammed, N., Otrok, H., Wang, L., Debbabi, M., Bhattacharya, P.: Mechanism design-based secure leader election model for intrusion detection in MANET. IEEE Trans. Dependable Secure Comput. 8(1), 89–103 (2011)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Md. Amir Khusru Akhtar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer India

About this paper

Cite this paper

Akhtar, M.A.K., Sahoo, G. (2016). Reduction in Resource Consumption to Enhance Cooperation in MANET Using Compressive Sensing. In: Nagar, A., Mohapatra, D., Chaki, N. (eds) Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics. Smart Innovation, Systems and Technologies, vol 44. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2529-4_18

Download citation

  • DOI: https://doi.org/10.1007/978-81-322-2529-4_18

  • Published:

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2528-7

  • Online ISBN: 978-81-322-2529-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics