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Fuzzy logic based multihop topology control routing protocol in wireless sensor networks

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Abstract

Reducing energy consumption has been a recent focus of wireless sensor network as it directly affects network lifetime. Geographical adaptive fidelity (GAF) is one of the well-known topology management multihop location-based routing protocols. Its main objective is to turn-off unnecessary sensor nodes while maintaining uninterrupted connectivity between communicating sensors. It is proved to be able to extend the lifetime of self-configuring systems by exploiting redundancy to conserve energy while maintaining application fidelity. Traditional GAF introduces unreachable corners; also the symmetric property is at stake thus providing with less network utility. In this paper, we propose a fuzzy logic based geographic routing protocol named FGAF-HEX to achieve higher energy optimization. Further, we use a GAF based Honeycomb Architecture to replace the traditional square grid with the hexagonal virtual grid. Simulation and analysis results show significant improvement in proposed work over traditional GAF in terms of various parameters, i.e., network lifetime and network connectivity. Results show that FGAF-HEX provides a substantial improvement in terms of various metrics as compared to traditional GAF.

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References

  • Akyildiz IF, Vuran MC (2010) Wireless sensor networks. WileySons, Chichester

    Book  MATH  Google Scholar 

  • Alfakih AY, Anjos MF, Piccialli V, Wolkowicz H (2009) Euclidean distance matrices, semidefinite programming, and sensor network localization, Technical Report CORR 2009–05. University of Waterloo, Waterloo

    MATH  Google Scholar 

  • Bhuiyan M, Wang G, Vasilakos A (2015) Local area prediction-based mobile target tracking in wireless sensor networks. IEEE Trans Comput 64(7):1968–1982

    Article  MathSciNet  MATH  Google Scholar 

  • Chen X, Xu M (2005) A geographical cellular-like architecture for wireless sensor networks. In: Proceedings of the 1st international conference on mobile ad hoc and sensor networks, Wuhan, China, pp 249–258

  • Cheng L, Wu C, Zhang Y, Wu H, Li M, Maple C (2012) A survey of localization in wireless sensor network. Int J Distrib Sens Netw 2012(1):1–12

    Google Scholar 

  • Chiang SY, Wang JL (2008) Routing analysis using fuzzy logic systems in wireless sensor networks, KES 2008. Part II. LNCS (LNAI) 5178, pp 966–973

  • Erman A, Dilo A, Havinga P(2012) A virtual infrastructure based on honeycomb tessellation for data dissemination in multi-sink mobile wireless sensor networks. EURASIP J Wirel Commun Netw (1):1–17

  • Heinzelman W, Chandrakasan A, Balakrishnan H (2002) An application-specific protocol architecture for wireless microsensor networks. IEEE Trans Wirel Commun 1(4):660–670

    Article  Google Scholar 

  • Huang P, Xiao L, Soltani S, Mutka M, Xi N (2012) The evolution of MAC protocols in wireless sensor networks: a survey. IEEE Commun Surv Tutor 15(1):101–120

    Article  Google Scholar 

  • Krislock N, Wolkowicz H (2011) Euclidean distance matrices and applications. Handb Semidefin Conic Polynomial Optim 166:879–914

    Article  MathSciNet  MATH  Google Scholar 

  • Lee JS, Cheng WL (2012) Fuzzy-logic-based clustering approach for wireless sensor networks using energy predication. IEEE Sens J 12(9):2891–2897

    Article  Google Scholar 

  • Liu RP, Rogers G, (Sue) Zhou S (2006) Honeycomb architecture for energy conservation in wireless sensor networks. In: Proceedings of the IEEE global telecommunications conference (GLOBECOM), (Nov 2006), San Francisco, CA, USA, pp 1–5

  • Luo H, Ye F, Cheng J, Lu S, Zhang L (2005) TTDD: two-tier data dissemination in large-scale wireless sensor networks. Wirel Netw 12(1):161–175

    Article  Google Scholar 

  • Pantazis NA, Nikolidakis SA, Vergados DD (2013) Energy-efficient routing protocols in wireless sensor networks: a survey. IEEE Commun Surv Tutor 15(2):551–591

    Article  Google Scholar 

  • Popescu A, Tudorache G, Peng B, Kemp A (2012) Surveying position based routing protocols for wireless sensor and ad-hoc networks. Int J Commun Netw Inf Secur 4(1):41–67

    Google Scholar 

  • Shah B, Iqbal F, Abbas A, Kim KI (2015) Fuzzy logic-based guaranteed lifetime protocol for real-time wireless sensor networks. Sensors 15(8):20373–20391

    Article  Google Scholar 

  • Shang F, Liu J (2012) Multi-hop topology control algorithm for wireless sensor networks. J Netw 7(9):1407–1414

    Google Scholar 

  • Sharieh A, Mohammad Q, Almobaideen W, Sliet A (2008) Hex-cell: modeling, topological properties and routing algorithm. Eur J Sci Res 22(2):457–468

    Google Scholar 

  • Sivanandam SN, Sumathi S, Deepa SN (2007) Introduction to fuzzy logic using MATLAB. Springer, Berlin, pp 304–309

    Book  MATH  Google Scholar 

  • Soni V, Mallick DK (2014) Location based routing protocols in wireless sensor networks: a survey. Int J Internet Protoc Technol 8(4):200–213

    Article  Google Scholar 

  • Vempaty A, Ozdemir O, Agrawal K, Chen H, Varshney P (2013) Localization in wireless sensor networks: byzantines and mitigation techniques. IEEE Trans Signal Process 61(6):1495–1508

    Article  MathSciNet  Google Scholar 

  • Xu Y, Heidemann J, EstrinD (2001) Geography-informed Energy Conservation for Ad Hoc Routing. In: Proceeding of the 7th annual international conference on mobile computing and networking (MobiCOM), (June 2001), Rome, Italy, 70–84, July 2001

  • Xu E, Ding Z, Dasgupta S (2013) Target tracking and mobile sensor navigation in wireless sensor networks. IEEE Trans Mob Comput 12(1):177–186

    Article  Google Scholar 

  • Zheng Jun, Jamalipour Abbas (2009) Wireless sensor networks: a network perspective. Wiley, Chichester

    Book  MATH  Google Scholar 

Download references

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Correspondence to Vaibhav Soni.

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Soni, V., Mallick, D.K. Fuzzy logic based multihop topology control routing protocol in wireless sensor networks. Microsyst Technol 24, 2357–2369 (2018). https://doi.org/10.1007/s00542-018-3790-9

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  • DOI: https://doi.org/10.1007/s00542-018-3790-9

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