Skip to main content
Log in

Hybrid Cache Management in Ad Hoc Networks

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

With the consistent growing maneuver and applications of mobile technologies, dynamic handling of queries related to information on electronic media (Broadcast Queries) plays a vital role. Broadcast Queries (BQs) consists of some authentic characteristics that are not addressed when compared to conventional spatial query processing. It is possible to achieve a considerable reduction in latency while maintaining the highest accuracy and scalability related to queries related to peer-to-peer allocation and thereby allows finishing queries with no interruption at a mobile congregation. In this paper, we propose a hybrid cache management algorithm in order to proficiently encourage accessing of data in ad hoc networks. The verification algorithm gathers the neighboring peer data items to provide the spatial query solutions. The network utilization in the network is related with the available bandwidth and the free space through efficient cache management. The hybrid cache management is combined with \(Cach{e}_{Data}\) and \(Cach{e}_{Path}\) techniques utilizing the concept of cache replacement policies with the motivation to further improve the performance of BQs. The experimental results indicate that the proposed scheme works well in reduction of query delay and also message complexity than the related techniques.

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
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21

Similar content being viewed by others

References

  1. Zeeshan Hussain, S., & Ahmad, N. (2018). Minimizing broadcast expenses in clustered ad-hoc networks. Journal of King Saud University—Computer and Information Sciences, 30(1), 67–79.

    Article  Google Scholar 

  2. Ali, H. A., Areed, M. F., & Elewely, D. I. (2018). An on-demand power and load-aware multi-path node-disjoint source routing scheme implementation using NS-2 for mobile ad-hoc networks. Simulation Modelling Practice and Theory, 80, 50–65.

    Article  Google Scholar 

  3. Beckmann, N., Kriegel, H.-P., Schneider, R., & Seeger, B. (1990). The R*-tree: An efficient and robust access method for points and rectangles. In Proceedings of the ACM SIGMOD ’90 (pp. 322–331).

  4. Harold Robinson, Y., & Rajaram, M. (2015). Energy-aware multipath routing scheme based on particle swarm optimization in mobile ad hoc networks. The Scientific World Journal, pp. 1–9.

  5. Xiuwu, Yu., Feng, Z., Lixing, Z., & Qin, L. (2018). Novel data fusion algorithm based on event-driven and Dempster–Shafer evidence theory. Wireless Personal Communications, 100(4), 1377–1391.

    Article  Google Scholar 

  6. Sahu, R. K., & Chaudhari, N. S. (2018). Energy reduction multipath routing protocol for MANET using recoil technique. Electronics, 7(5), 56.

    Article  Google Scholar 

  7. Kumar, V. V., & Ramamoorthy, S. (2018). Secure adhoc on-demand multipath distance vector routing in MANET. In Proceedings of the International Conference on Computing and Communication Systems (pp. 49–63). Singapore: Springer.

  8. Li, H., Liu, Y., Chen, W., Jia, W., Li, B., & Xiong, J. (2013). COCA: Constructing optimal clustering architecture to maximize sensor network lifetime. Computer Communications, 36(3), 256–268.

    Article  Google Scholar 

  9. Chen, L., Lyu, D., Xu, Z., Long, H., & Chen, G. (2020). A content-location-aware public welfare activity information push system based on microblog. Information Processing and Management 57(1): Article 102137.

  10. Chaudhry, R., & Tapaswi, S. (2018). Optimized power control and efficient energy conservation for topology management of MANET with an adaptive Gabriel graph. Computers and Electrical Engineering, 72, 1021–1036.

    Article  Google Scholar 

  11. Ku, W. S., & Zimmermann, R. (2006). Location-based spatial queries with data sharing in mobile environments. In Proceedings of the 22nd IEEE international conference on data engineering (ICDE ’06) workshops (p. 14).

  12. Harold, R. Y., Golden, J. E., Saravanan, K., Kumar, R., & Son, L. H. (2019). DRP: Dynamic routing protocol in wireless sensor networks. Wireless Personal Communications, 111, 1–15.

    Google Scholar 

  13. Kang, D., Kim, H. S., Joo, C., & Bahk, S. (2018). ORGMA: Reliable opportunistic routing with gradient forwarding for MANETs. Computer Networks, 131, 52–64.

    Article  Google Scholar 

  14. Khamayseh, Y. M., Aljawarneh, S. A., & Asaad, A. E. (2018). Ensuring survivability against Black Hole Attacks in MANETS for preserving energy efficiency. Sustainable Computing: Informatics and Systems, 18, 90–100.

    Google Scholar 

  15. Saravanan, T., & Nithya, N. S. (2019). Modeling displacement and direction aware ad hoc on-demand distance vector routing standard for mobile ad hoc networks. Mobile Networks and Applications, 24, 1804–1813.

    Article  Google Scholar 

  16. Sarkar, D., Choudhury, S., & Majumder, A. (2018). Enhanced-Ant-AODV for optimal route selection in mobile ad-hoc network. Journal of King Saud University-Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2018.08.013.

    Article  Google Scholar 

  17. Sun, Z., Zhang, X., Ye, Y., Chu, X., & Liu, Z. (2019). A probabilistic approach towards an unbiased semi-supervised cluster tree. Knowledge-Based Systems. Available online 10 December 2019, Article 105306 (in press, journal pre-proof).

  18. Han, Q., Liu, J., Shen, Z., Liu, J., & Gong, F. (February 2020). Vector partitioning quantization utilizing K-means clustering for physical layer secret key generation. Information Sciences, 512, 137–160.

    Article  MathSciNet  Google Scholar 

  19. Marendet, A., Goldsztejn, A., Chabert, G., & Jermann, C. (2020). A standard branch-and-bound approach for nonlinear semi-infinite problems. European Journal of Operational Research, 282(2), 438–452.

    Article  MathSciNet  Google Scholar 

  20. Bhvani, K., & Sasindrakumar, S. (2015). Traffic pattern discovery system for MANET. International Journal of Advanced Research Trends in Engineering and Technology, 2, 67–74.

    Google Scholar 

  21. Jamali, M. A. J. (2018). A multipath QoS multicast routing protocol based on link stability and route reliability in mobile ad-hoc networks. Journal of Ambient Intelligence and Humanized Computing. https://doi.org/10.1007/2Fs12652-017-0609-y.

    Article  Google Scholar 

  22. Zimmermann, W.-S.K., & Wang, H. (2008). Location-based spatial query processing in wireless broadcast environments. IEEE Transactions on Mobile Computing, 7(6), 778–791.

    Article  Google Scholar 

  23. Sasikala, K., Reka, R., & Prasath, M. A. (2014). Performance evaluation of improving network capacity with optimized cooperative (COCO) topology control scheme in MANETS. International Journal for Research in Emerging Science and Technology, 1(6), 58–64.

    Google Scholar 

  24. Harold Robinson, Y., Balaji, S., & Golden Julie, E. (2019). Design of a buffer enabled ad hoc on-demand multipath distance vector routing protocol for improving throughput in mobile ad hoc networks. Wireless Personal Communications, 106(4), 2053–2078.

    Article  Google Scholar 

  25. Abu-EIN, A., & Nader, J. (2014). An enhanced AODV routing protocol for MANETs. International Journal of Computer Science Issues, 11(1), 196–206.

    Google Scholar 

  26. Dehghani, F., & Movahhedinia, N. (2018). CCN energy-delay aware cache management using quantized hopfield. Journal of Network and Systems Management, 26(4), 1058–1078.

    Article  Google Scholar 

  27. Gao, G., & Li, R. (2019). Collaborative caching in P2P streaming networks. Journal of Network and Systems Management, 27(3), 815–836.

    Article  Google Scholar 

  28. Aljeri, N., & Boukerche, A. (2019). A two-tier machine learning-based handover management scheme for intelligent vehicular networks. Ad Hoc Networks, 94, 101930.

    Article  Google Scholar 

  29. Amiri, E., & Hooshmand, R. (2019). Improved AODV based on TOPSIS and fuzzy algorithms in vehicular ad-hoc networks. Wireless Personal Communications, 111, 1–15.

    Google Scholar 

  30. Jin, H., Xu, D., Zhao, C., & Liang, D. (2017). Information-centric mobile caching network frameworks and caching optimization: A survey. EURASIP Journal on Wireless Communications and Networking, 2017(1), 33.

    Article  Google Scholar 

  31. Kanellopoulos, D. (2018). Congestion control for MANETs: An overview. ICT Express, 5, 77–83.

    Article  Google Scholar 

  32. Harold Robinson, Y., Santhana Krishnan, R., Golden Julie, E., Kumar, R., Son, L. H., & Thong, P. H. (2019). Neighbor knowledge-based rebroadcast algorithm for minimizing the routing overhead in mobile ad-hoc networks. Ad Hoc Networks, 93, 101896.

    Article  Google Scholar 

  33. Hamza, R., Muhammad, K., Lv, Z., & Titouna, F. (2017). Secure video summarization framework for personalized wireless capsule endoscopy. Pervasive and Mobile Computing, 41, 436–450.

    Article  Google Scholar 

  34. Harold Robinson, Y., Balaji, S., & Golden Julie, E. (2019). FPSOEE: Fuzzy-enabled particle swarm optimization-based energy-efficient algorithm in mobile ad-hoc networks. Journal of Intelligent and Fuzzy Systems, 36(4), 3541–3553.

    Article  Google Scholar 

  35. Usman, M., Jan, M. A., He, X., & Nanda, P. (2018). QASEC: A secured data communication scheme for mobile ad-hoc networks. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2018.05.007.

    Article  Google Scholar 

  36. Harold Robinson, Y., Balaji, S., & Golden Julie, E. (2019). PSOBLAP: Particle swarm optimization-based bandwidth and link availability prediction algorithm for multipath routing in mobile ad hoc networks. Wireless Personal Communications, 106(4), 2261–2289.

    Article  Google Scholar 

  37. Chuang, P., Chen, Y., & Chen, H. (2013). Efficient cooperative caching in mobile ad-hoc networks. In Proceedings of the 2nd international conference on cloud-computing and super-computing CCSC 2013 (Vol. 2, pp.104–108).

  38. Zam, A., & Movahedinia, N. (2013). Performance improvement of cache management in cluster based MANET. I.J. Computer Network and Information Security, 10(1), 24–29.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Le Hoang Son.

Additional information

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

Krishnan, C.G., Robinson, Y.H., Julie, E.G. et al. Hybrid Cache Management in Ad Hoc Networks. Wireless Pers Commun 118, 2843–2865 (2021). https://doi.org/10.1007/s11277-021-08158-z

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-021-08158-z

Keywords

Navigation