Skip to main content
Log in

Volunteer nodes of ant colony optimization routing for minimizing delay in peer to peer MANETs

  • Published:
Peer-to-Peer Networking and Applications Aims and scope Submit manuscript

Abstract

A Mobile ad hoc Network (MANET) is an infrastructure less network that permits nodes to make a wireless network with mobility. In MANETs, the node linkages breaks are frequent due to all nodes are in movement. When neighbor nodes travel out of other node communication range connection among both mobile nodes breaks. Thus it makes delay and packet loss in the network. In the present Traffic Control method, several times, since the highest traffic, heavy rain, accidents, or other reasons, there may be probabilities of jam on roads. Thus, people could get delay owing to the highest traffic. Therefore, it is highly preferred to have an effective way to track the traffic on roads and thus select the suitable road that is traffic free. To resolve these problems, the volunteer Nodes of Ant Colony Optimization Routing (VNACO) is proposed. The primary objective of VNACO is to reduce both the delay and routing overhead in Peer to Peer (P2P) MANETs. Here, peer node act as a volunteer node and mobile node for transmitting data from source to destination. During data transmission, the relay node moving out of communication range when the volunteer node overheard the dropped data packet then deliver the data to the corresponding relay node. As a result, minimizes both the delay and packet losses. In VNACO, the volunteer’s nodes are elected based on node aptitude. Node aptitude is calculated by iterating node connectivity, transmission processing time, node energy and available bandwidth. In addition, an ant colony optimization algorithm to finds the optimal route and reduce the routing overhead in P2P MANETs. The significant application of this mechanism is utilized for the traffic management system. Network simulation results indicate that the VNACO mechanism is minimizing 22% delay and reducing 14% packet losses compared to the baseline protocol.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  1. Ramanathan R, Redi J (2002) A brief overview of ad hoc networks: challenges and directions. IEEE Commun Mag 40(5):20–22

    Article  Google Scholar 

  2. Wu F, Xu L, Kumari S, Li X (2017) A privacy-preserving and provable user authentication scheme for wireless sensor networks based on the internet of things security. J Ambient Intell Humaniz Comput 8(1):101–116

    Article  Google Scholar 

  3. Chen YH, Hu CC, Wu EHK, Chuang SM, Chen GH (2017) A Delay-Sensitive Multicast Protocol for Network Capacity Enhancement in Multirate MANETs. IEEE Syst J 12(1):926–937

    Article  Google Scholar 

  4. Puri S, Arora V (2014) Routing Protocols in MANET: A Survey. Int J Comput Appl 96(13)

    Article  Google Scholar 

  5. Jia R, Yang F, Yao S, Tian X, Wang X, Zhang W, Xu J (2017) Optimal Capacity–Delay Tradeoff in MANETs With Correlation of Node Mobility. IEEE Trans Veh Technol 66(2):1772–1785

    Article  Google Scholar 

  6. Wang Z, Chen Y, Li C (2014) PSR: A lightweight proactive source routing protocol for mobile ad hoc networks. IEEE Trans Veh Technol 63(2):859–868

    Article  Google Scholar 

  7. Al-Karaki JN, Kamal AE (2008) Stimulating node cooperation in mobile ad hoc networks. Wirel Pers Commun 44(2):219–239

    Article  Google Scholar 

  8. Chaudhary A, Sachdev S, Pradhan T, Kamath S (2014) Improving performance of MANET via cooperative communication with selective cooperation method considering dynamic traffic pattern using ns2. International Conference on High-Performance Computing and Applications, pp. 1–5

  9. Shan H, Zhuang W, Wang Z (2009) Cooperation or not in mobile ad hoc networks: a MAC perspective. IEEE International Conference on Communications:1–6

  10. Mule R, Patil B (2016) Proactive source routing protocol for opportunistic data forwarding in MANETs. In Automatic Control and Dynamic Optimization Techniques, IEEE International Conference, pp. 227–232

  11. Wang Z, Li C, Chen Y (2011) PSR: Proactive source routing in mobile ad hoc networks. In: Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE, pp. 1–6

  12. Haseena MK, Philip A (2015) A Fast and Reliable Tree based Proactive Source Routing in Mobile Adhoc Network. International Journal of Engineering and Computer Science 4(7):13422–13425

    Google Scholar 

  13. Acs G, Buttyan L, Vajda I (2006) Provably secure on-demand source routing in mobile ad hoc networks. IEEE Trans Mob Comput 5(11):1533–1546

    Article  Google Scholar 

  14. Mueller S, Tsang RP, Ghosal D (2014) Multipath routing in mobile ad hoc networks: Issues and challenges. In: Performance tools and applications to networked systems. Springer, Berlin, Heidelberg, pp. 209–234

    Chapter  Google Scholar 

  15. Feeney LM (2011) An energy consumption model for performance analysis of routing protocols for mobile ad hoc networks. Mobile Networks and Applications 6(3):239–249

    Article  Google Scholar 

  16. Yadav AK, Tripathi S (2017) QMRPRNS: Design of QoS multicast routing protocol using reliable node selection scheme for MANETs. Peer-to-Peer Networking and Applications 10(4):897–909

    Article  Google Scholar 

  17. Khudayer BH, Kadhum MM, Chee WT (2015) Multi-disjoint Routes Mechanism for Source Routing. Information Science and Applications 339(23):189–204

    Article  Google Scholar 

  18. AlQarni BH, AlMogren AS (2016) Reliable and Energy Efficient Protocol for MANET Multicasting. Journal of Computer Networks and Communications

  19. Das SK, Tripathi S (2015) Energy efficient routing protocol for MANET based on vague set measurement technique. Procedia Computer Science 58:348–355

    Article  Google Scholar 

  20. Veeresha M, Sugumaran M (2017) Optimal hybrid broadcast scheduling and adaptive cooperative caching for spatial queries in road networks. J Ambient Intell Humaniz Comput 8(4):607–624

    Article  Google Scholar 

  21. Abdallah AE (2018) Low overhead hybrid geographic-based routing algorithms with smart partial flooding for 3D ad hoc networks. J Ambient Intell Humaniz Comput 9(1):85–94

    Article  MathSciNet  Google Scholar 

  22. Gupta AK, Mandal JK, Bhattacharya I, Mondal T, Shaw SS CTMR-collaborative time-stamp based multicast routing for delay tolerant networks in the post-disaster scenario. Peer-to-Peer Networking and Applications 11(1):162–180, 2008

  23. Sharma VK, Kumar M (2017) Adaptive congestion control scheme in mobile ad-hoc networks. Peer-to-Peer Networking and Applications 10(3):633–657

    Article  Google Scholar 

  24. Idoudi H, Abderrahim OB, Mabrouk K (2016) Generic links and paths stability model for Mobile Ad Hoc Networks. IEEE International Conference on Wireless Communications and Mobile Computing:394–398

  25. Brahmbhatt S, Kulshrestha A, Singal G (2015) SSLSM: signal strength based link stability estimation in MANETs. IEEE International Conference on Computational Intelligence and Communication Networks:173–177

  26. Yang P, Huang B (2008) QoS routing protocol based on link stability with dynamic delay prediction in MANET. IEEE Conference on Computational Intelligence and Industrial Application 1:515–518

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to N. Noor Alleema.

Additional information

This article is part of the Topical Collection: Special Issue on P2P Computing for Intelligence of Things

Guest Editors: Sunmoon Jo, Jieun Lee, Jungsoo Han, and Supratip Ghose

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Alleema, N.N., Kumar, D.S. Volunteer nodes of ant colony optimization routing for minimizing delay in peer to peer MANETs. Peer-to-Peer Netw. Appl. 13, 590–600 (2020). https://doi.org/10.1007/s12083-019-00772-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12083-019-00772-w

Keywords

Navigation