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Performance Evaluation of Dynamic Zone Radius Estimation in ZRP for Multihop Adhoc Networks

Wireless Personal Communications volume 113, pages 2543–2567 (2020)Cite this article

Abstract

Due to self-organizing and self-configuring nature of multihop adhoc networks, routing is the most challenging task. Zone routing protocol (ZRP) is one of the hybrid routing protocols that combines the benefits offered by reactive and proactive routing protocol. But ZRP leads to performance degradation as it assumes that all nodes are moving in uniform speed with static zone radius, irrespective of current network status. To enhance the performance of ZRP, this paper proposes an adaptive mobility, density and energy based zone routing protocol (MDE-ZRP) using fuzzy logic to facilitate dynamic zone radius determination based on mobility speed, neighborhood density and residual energy of nodes. The analytical model for determining routing overhead of the proposed protocol is also developed to ensure performance enhancements. The NS2 simulation of the proposed MDE-ZRP is performed under random waypoint and multi mobility models with varying number of nodes. The extensive simulation results reveal that the proposed MDE-ZRP outperforms ZRP, optimized velocity based adaptive ZRP (OVBAZRP) in terms of routing overhead, jitter, energy consumption, packet delivery ratio, loss and collision rate.

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References

  1. Alshanyour, A., & Baroudi, U. (2010). A simulation study: The impact of random and realistic mobility models on the performance of bypass-AODV in ad hoc wireless networks. Journal on Wireless Communications and Networking,2010, 1–10.

    Google Scholar 

  2. Bai, F., Sadagopan, N., & HElmy, A. (2003). Important: A frame work to systematically analyze the impact of mobility on performance of routing protocols for adhoc neworks. In IEEE conference on computer and communications societies (pp. 825–835).

  3. Beijar, N. (2002). Zone routing protocol (ZRP), Technical report. Helsinki University of Technology.

  4. Camp, T., Belong, J., & Davies, V. (2002). A survey of mobility models for ad hoc network research. Wireless Communication & Mobile Computing: Special Issue on Mobile Ad Hoc Networking: Research, Trends and Applications,2(5), 149–152.

    Google Scholar 

  5. Conti, M., & Giordano, S. (2014). Mobile ad hoc networking: Milestones, challenges, and new research directions. Communications Magazine,52(1), 85–96.

    Article  Google Scholar 

  6. Harrag, N., Refoufi, A., & Harrag, A. (2019). PSO-IZRP: New enhanced zone routing protocol based on PSO independent zone radius estimation. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields,32(1), e2461.

    Article  Google Scholar 

  7. Huang, C. J., Chen, L. C., Lin, Y. C., Chuang, Y. T., Lai, W. K., & Hasio, S. Y. (2005). A zone routing protocol for bluetooth MANET with online adaptive zone radius. In Fifth international conference on information, communications and signal processing (pp. 579–583).

  8. Jaiswal, A. K., & Singh, P. (2010). Optimizing velocity based adaptive zone routing protocol. In International conference on computer and communication technology (pp. 149–152).

  9. Liu, J., Nishiyama, H., Kato, N., Kumagai, T., & Takahara, A. (2013). Toward modeling ad hoc networks: Current situation and future direction. Wireless Communications,20(6), 51–58.

    Article  Google Scholar 

  10. Maan, F., & Mazhar, N. (2011). MANET routing protocols versus mobility models: A performance evaluation. In International conference on ubiquistius and future networks (pp. 179–184).

  11. Meghanathan, N. (2010). Impact of the Gauss-Markov mobility model on network connectivity, lifetime and hop count of routes for mobile ad hoc networks. Journal of Networks,5(4), 509–516.

    MATH  Google Scholar 

  12. Mousavi, S. M., Rabiee, H. R., Moshref, M., & Dabirmoghaddam, A. (2007). MobiSim: A framework for simulation of mobility models in mobile ad-hoc networks. In IEEE international conference on wireless and mobile computing, networking and communications (p. 82).

  13. Saleem, M., Khayam, S. A., & Farooq, M. (2010). On performance modeling of ad hoc routing protocols. EURASIP Journal on Wireless Communications and Networking,1, 1–13.

    Google Scholar 

  14. Ortiz, A. M., Royo, F., & Olivares, T. (2011). Fuzzy-logic based routing for dense wireless sensor networks. Telecommunication Systems,52(4), 2687–2697.

    Article  Google Scholar 

  15. Osanai, H., Koyama, A., & Baroli, L. (2011). An implementation and evaluation of zone-based routing protocol for mobile ad hoc networks. In International conference on network-based information systems (pp. 517–522).

  16. Prabhakaran, P., & Sankar, R. (2006). Impact of realistic mobility models on wireless networks performance. In IEEE international conference on wireless and mobile computing, networking and communications (pp. 329–334).

  17. Rakholiya, C., & Joshi, R. D. (2012). Performance enhancement of zone routing protocol in MANET for reliable packet delivery. In International conference on advances in electronics, electrical and computer science engineering (pp. 447–452).

  18. Ravilla, D., Sumalatha, V., & Reddy, P. C. S. (2011). Performance comparisons of ZRP and IZRP routing protocols for ad hoc wireless networks. In International conference on energy, automation and signal (pp. 1–8).

  19. Royer, E. M., & Toh, C. K. (1999). A review of current routing protocols for ad hoc mobile wireless networks. Personal Communications,6(2), 46–55.

    Article  Google Scholar 

  20. Selvi, P. T., & GhanaDhas, C. S. (2019). A novel algorithm for enhancement of energy efficient zone based routing protocol for MANET. Mobile Networks and Applications,24(2), 307–317.

    Article  Google Scholar 

  21. Shafiq, Z., Mahmud, S. A., Khan, G. M., Sayyed, A., & Al-Raweshidy, H. S. (2012). Zone routing protocol: how does it perform the other way round? In International conference on convergence (pp. 71–77).

  22. Shivanajay, M., Dipti, S., & Chen, T. (2004). Evolutionary fuzzy multi-objective routing for wireless adhoc network. Evolutionary Computation, 2, 1964–1971.

    Google Scholar 

  23. Raju, S. R., & Mungara, J. (2010). A unified approach to enhance the performance of ZRP for MANETs on an Urban terrain. In IEEE international conference on progress in informatics and computing (pp. 532–536).

  24. Susan, R., & Drik, P. (2004). Multi metric routing decisions for adhoc newroks using fuzzy logic. In International symposium on wireless communication systems (pp. 403–407).

  25. Wang, L., & Olariu, S. (2004). A two-zone hybrid routing protocol for mobile ad hoc networks. IEEE transactions on Parallel and Distributed Systems,15, 1105–1116.

    Article  Google Scholar 

  26. Walikar, G. A., & Biradar, R. C. (2018). Energy aware hybrid multicast routing in mobile ad hoc networks: Zone-based approach. International Journal of Mobile Network Design and Innovation,8(2), 80–100.

    Article  Google Scholar 

  27. Yang, X., Chen, Q., Chen, C., & Zhao, J. (2018). Improved ZRP routing protocol based on clustering. Procedia Computer Science,131, 992–1000.

    Article  Google Scholar 

  28. Zhang, M., Yang, M., Wu, Q., Zheng, R., & Zhu, J. (2018). Smart perception and autonomic optimization: A novel bio-inspired hybrid routing protocol for MANETs. Future Generation Computer Systems,81, 505–513.

    Article  Google Scholar 

  29. Zhao, T., & Liu, Q. (2011). An enhanced routing mechanism based on ZRP in ad hoc networks. In International communication conference on wireless mobile and computing (pp. 468–471).

  30. Zhou, J., Cheng, Y., & Lu, J. (2007). Velocity based adaptive zone routing protocol. In International symposium on intelligent signal processing and communication systems (pp. 337–340).

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Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli, 620015, India

    B. Nithya, C. Mala & R. G. Thivyavignesh

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  1. B. Nithya
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  2. C. Mala
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  3. R. G. Thivyavignesh
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Correspondence to B. Nithya.

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Nithya, B., Mala, C. & Thivyavignesh, R.G. Performance Evaluation of Dynamic Zone Radius Estimation in ZRP for Multihop Adhoc Networks. Wireless Pers Commun 113, 2543–2567 (2020). https://doi.org/10.1007/s11277-020-07340-z

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Keywords

  • Fuzzy logic
  • Mobility
  • Multihop
  • NS2
  • Zone radius