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Traveling distance estimation to mitigate unnecessary handoff in mobile wireless networks

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Abstract

Amidst the factors that degrade the performance of a mobile wireless network (MWN), unnecessary handoff is considered to be one of the premier culprits since it aimlessly consumes the network resources. Most of the existing handoff algorithms proposed for MWN suffer from frequent unnecessary handoff as the primary decision of switching network cells is solely based on a single contributing factor, namely the received signal strength (RSS) that approximates the distance between a mobile node and access points. In practice, the RSS may not provide accurate approximation of the true distance as it fluctuates with wireless propagation impairments (such as shadowing, scattering, and reflection), leading to potential incorrect handoff decision within neighboring cells. In this paper, an improved estimation model for instantaneous distance between the mobile node and access point is formulated. Building upon this model, a new handoff technique is proposed by introducing two RSS thresholds and estimated distance verification, anticipating RSS fluctuations that may lead to handoff decision errors. The performance of the proposed handoff mechanism is thoroughly examined using numerical simulations and the acquired results demonstrate promising advantages of this proposed technique.

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References

  1. Balakrishnan R, Akyildiz IF (2016) Local anchor schemes for seamless and low-cost handover in coordinated small cells. IEEE Trans Mob Comput 15(5):1182–1196

    Article  Google Scholar 

  2. Fischione C, Athanasiou G, Santucci F (2014) Dynamic optimization of generalized least squares handover algorithms. IEEE Trans Wirel Commun 13(3):1235–1249

    Article  Google Scholar 

  3. Ahmed A, Merghem-Boulahia L, Gaïti D (2011) An intelligent agent-based scheme for vertical handover management across heterogeneous networks. Ann Telecommun 66(9):583–602

    Article  Google Scholar 

  4. Ahmad R, Sundararajan EA, Othman NE, Ismail M (2017) Handover in LTE-advanced wireless networks: state of art and survey of decision algorithm. Telecommun Syst 66(3):533–558

    Article  Google Scholar 

  5. Ferretti S, Ghini V, Panzieri F (2016) A survey on handover management in mobility architectures. Comput Netw 94:390–413

    Article  Google Scholar 

  6. Holis J, Pechac P (2008) Elevation dependent shadowing model for mobile communications via high altitude platforms in built-up areas. IEEE Trans Antennas Propag 56(4):1078–1084

    Article  Google Scholar 

  7. Zhou Y, Ai B (2014) Handover schemes and algorithms of high- speed mobile environment: a survey. Comput Commun 47:1–15

    Article  Google Scholar 

  8. Zola E, Kassler A (2016) Minimizing the impact of the handover for mobile users in WLAN: a study on performance optimization. Comput Netw 107(Part 2(1)):292–303

    Article  Google Scholar 

  9. Mahmood A, Zen H, Othman AK (2015) An optimized travelling time estimation mechanism for minimizing handover failures and unnecessary handovers from cellular networks to WLANs. Int J Pervasive Comput Commun 11(1):2–16

    Article  Google Scholar 

  10. Zhu X, Li M, Xia W, Zhu H (2016) A novel handoff algorithm for hierarchical cellular networks. China Commun 13(8):136–147

    Article  Google Scholar 

  11. Sung NW, Pham NT, Yoon H, Lee S, Hwang WJ (2013) Base station association schemes to reduce unnecessary handovers using location awareness in femtocell networks. Wirel Netw 19(5):741–753

    Article  Google Scholar 

  12. Kabiri S, Kalbkhani H, Lotfollahzadeh T, Shayesteh MG, Solouk V (2016) Technique for order of preference by similarity to ideal solution based predictive handoff for heterogeneous networks. IET Commun 10(13):1682–1690

    Article  Google Scholar 

  13. Kustiawan I, Chi KH (2015) Handoff decision using a Kalman filter and fuzzy logic in heterogeneous wireless networks. IEEE Commun Lett 19(12):2258–2261

    Article  Google Scholar 

  14. Kumar SA, Murthy KES (2016) Minimizing excessive handover using optimized Cuckoo algorithm in heterogeneous wireless networks. In: Proceedings of the 2nd international conference on computer and communication technologies. https://doi.org/10.1007/978-81-322-2526-3-16

  15. Rahman MA, Salih QM, Zolkipli MFB (2015) Design a technique for minimizing unnecessary handoff in mobile wireless networks. In: Proceedings of the IEEE international conference on software engineering and computer systems, pp 218–222

  16. Camp T, Boleng J, Davies V (2002) A survey of mobility models for ad hoc network research. Wirel Commun Mob Comput 2(5):483–502

    Article  Google Scholar 

  17. Jana T, Banerjee J, Chakroborty I, Patra TS, Sarddar D, Naskar M, Biswas U (2011) Minimization of handoff failure and cellular traffic by introducing IEEE 802.11b WLAN router in the handoff region. In: Unnikrishnan S, Surve S, Bhoir D (eds) Advances in computing, communication and control. ICAC3 2011. Communications in computer and information science, vol 125. Springer, Berlin

    Google Scholar 

  18. Kim DH, Kim JD (2013) Design and implementation of location-based Handoff scheme for multimedia data. In: Kreowski HJ, Scholz-Reiter B, Thoben K D (eds) Dynamics in logistics. Lecture notes in logistics. Springer, Berlin

    Chapter  Google Scholar 

  19. Berg M, Kreveld M, Overmars M, Schwarzkopf O (1996) Computational geometry: algorithms and applications. Springer, Berlin

    MATH  Google Scholar 

  20. Zheng B, Lee WC, Lee DL (2004) On semantic caching and query scheduling for mobile nearest-neighbor search. Wirel Netw 10(6):653–664

    Article  Google Scholar 

  21. Cacciapuoti AS, Caleffi M, Paura L, Rahman MA (2015) Channel availability for mobile cognitive radio networks. J Netw Comput Appl 47:131–136

    Article  Google Scholar 

  22. Asyhari AT, ten Brink S (2017) Orthogonal or superimposed pilots? A rate-efficient channel estimation strategy for stationary MIMO fading channels. IEEE Trans Wirel Commun 16(5):2776–2789

    Article  Google Scholar 

  23. Asyhari AT, i Fàbregas AG (2014) MIMO block-fading channels with mismatched CSI. IEEE Trans Inf Theory 60(11):7166–7185

    Article  MathSciNet  Google Scholar 

  24. Rahman MA, Kabir MN, Azad S, Ali J On mitigating hop-to-hop congestion problem in IoT enabled intra-vehicular communication. In: Proceedings of the IEEE international conference on software engineering and computer systems, pp 213–217

  25. Rahman MA, Ali J, Kabir MN, Azad S (2017) A performance investigation on IoT enabled intra-vehicular wireless sensor networks. Int J Autom Mech Eng 14:3970–3984

    Article  Google Scholar 

  26. Rahman MA, Asyhari AT, Bhuiyan MZA, Salih QM, Zamli KZB (2018) L-CAQ: joint link-oriented channel-availability and channel-quality based channel selection for mobile cognitive radio networks. J Netw Comput Appl 113:26–35

    Article  Google Scholar 

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Acknowledgments

M. A. Rahman and A. T. Asyhari acknowledge support from the Malaysian Ministry of Higher Education-Fundamental Research Grant Scheme (FRGS) grant no. RDU190165.

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Authors and Affiliations

  1. Faculty of Computer Systems and Software Engineering, University Malaysia Pahang, 26300, Gambang, Malaysia

    Md. Arafatur Rahman, Qusay Medhat Salih & Saiful Azad

  2. School of Computing, Electronics and Mathematics, Coventry University, Coventry, CV1 5FB, UK

    A. Taufiq Asyhari

Authors
  1. Md. Arafatur Rahman
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  2. Qusay Medhat Salih
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  3. A. Taufiq Asyhari
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  4. Saiful Azad
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Correspondence to Md. Arafatur Rahman or A. Taufiq Asyhari.

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Rahman, M.A., Salih, Q.M., Asyhari, A.T. et al. Traveling distance estimation to mitigate unnecessary handoff in mobile wireless networks. Ann. Telecommun. 74, 717–726 (2019). https://doi.org/10.1007/s12243-019-00713-x

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  • DOI: https://doi.org/10.1007/s12243-019-00713-x

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