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Novel energy-efficient secure routing protocol for wireless sensor networks with Mobile sink

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Abstract

The energy consumption and the Quality of Service (QoS) are the major concern in Wireless Sensor Network (WSN). Dissimilar sensor nodes in the heterogeneous network are the efficient network strategy. Since it has some capabilities like enhanced processing ability, additional memory power and distant transmission ability. For effective clustering and route formation among the pair of nodes, an efficient Enhanced Fuzzy C means and Adaptive TDMA Scheduling (ECATS) method is proposed as a protocol to facilitate communication within the network. So that data packets can be delivered within time to the mobile sink. Here introducing the novel protocol named as Neural Elliptic Galois (NEG) cryptography for efficient data security. Also, the location privacy (Threshold fault node detection) is taken in to account for better security. Cluster head (CH) selection is done on the basis of energy to manage the data aggregation among a number of nodes in the network. Here, hybridization of TDMA based Ant Lion Optimization scheduling is introduced for optimal CH selection is used for better energy efficiency. Finally, ECATS can be done with optimized WSN performance metrics such as packet delivery ratio, throughput, minimum energy consumptions, communication overheads & end to end delay. Thus, we can increase the reliability of the network while minimizing the energy consumption and the results are compared with few existing routing protocols using MATLAB simulation tool.

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References

  1. Chong CY, Kumar SP (2003) Sensor networks: Evolution, opportunities, and challenges. Proc IEEE 91(8):1247–1256

    Article  Google Scholar 

  2. Cardei M, Wu J (2006) Energy-efficient coverage problems in wireless ad-hoc sensor networks. Comput Commun 29(4):413–420

    Article  Google Scholar 

  3. Cui S, Goldsmith AJ, Bahai A (2004) Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks. IEEE Journal on Selected Areas in Communication 22(6):1089–1098

    Article  Google Scholar 

  4. Daly DC, Chandrakasan AP (2007) An energy-efficient OOK transceiver for wireless sensor networks. IEEE J Solid State Circuits 42(5):1003–1011

    Article  Google Scholar 

  5. Tan HÖ, Körpeoǧlu I (2003) Power efficient data gathering and aggregation in wireless sensor networks. ACM SIGMOD Rec 32(4):66–71

    Article  Google Scholar 

  6. Ye W, Heidemann J, Estrin D (2002) An energy-efficient MAC protocol for wireless sensor networks. Proc IEEE 3(1):1567–1576

    Google Scholar 

  7. Chamberland JF, Veeravalli VV (2004) Asymptotic results for decentralized detection in power constrained wireless sensor networks. IEEE Journal on Selected Areas in Communications 22(6):1007–1015

    Article  Google Scholar 

  8. Koubâa A, Severino R, Alves M, Tovar E (2009) Improving quality-of-service in wireless sensor networks by mitigating hidden-node collisions. IEEE Transactions on Industrial Informatics 5(3):299–313

    Article  Google Scholar 

  9. Gungor VC, Hancke GP (2009) Industrial wireless sensor networks: Challenges, design principles, and technical approaches. IEEE Trans Ind Electron 56(10):4258–4265

    Article  Google Scholar 

  10. Cardei M, Du DZ (2005) Improving wireless sensor network lifetime through power aware organization. Wirel Netw 11(3):333–340

    Article  Google Scholar 

  11. Felemban E, Lee CG, Ekici E (2006) MMSPEED: Multipath multi-SPEED protocol for QoS guarantee of reliability and timeliness in wireless sensor networks. IEEE Trans Mob Comput 5(6):738–754

    Article  Google Scholar 

  12. Wang C, Li B, Sohraby K, Daneshmand M, Hu Y (2007) Upstream congestion control in wireless sensor networks through cross-layer optimization. IEEE Journal on Selected Areas in Communications 25(4):786–795

    Article  Google Scholar 

  13. Huang X, Fang Y (2008) Multi-constrained QoS multipath routing in wireless sensor networks. Wirel Netw 14(4):465–478

    Article  Google Scholar 

  14. Akyildiz IF, Melodia T, Chowdhury KR (2008) Wireless multimedia sensor networks: Applications and testbeds. Proc IEEE 96(10):1588–1605

    Article  Google Scholar 

  15. Liu Y, Zhu Y, Ni L, Xue G (2011) A reliability-oriented transmission service in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems 22(12):2100–2107

    Article  Google Scholar 

  16. Liang Y, Yu HB, Zeng P (2005) Routing protocols for wireless sensor networks. Information and Control-Shenyang 34(3):325

    Google Scholar 

  17. Heinzelman WB, Chandrakasan AP, Balakrishnan H (2002) An application-specific protocol architecture for wireless micro-sensor networks. IEEE Trans Wirel Commun 1(4):660–670

    Article  Google Scholar 

  18. Al-Karaki JN, Kamal AE (2004) Routing techniques in wireless sensor networks. IEEE Wirel Commun 11(6):6–28

    Article  Google Scholar 

  19. Karlof C, Wagner D (2003) Secure routing in wireless sensor networks. Attacks and Countermeasures Ad hoc Networks 1(2):293–315

    Article  Google Scholar 

  20. Wattenhofer R, Li L, Bahl P, Wang YM (2001) Distributed topology control for power efficient operation in multihop wireless ad hoc networks. IEEE Computer and Communications Societies 3(1):1388–1397

    Google Scholar 

  21. Long J, Dong M, Ota K, Liu A (2017) A green TDMA scheduling algorithm for prolonging lifetime in wireless sensor networks. IEEE Syst J 11(2):868–877

    Article  Google Scholar 

  22. Haseeb K, Abu Bakar K, Abdullah AH, Darwish T (2017) Adaptive energy aware cluster-based routing protocol for wireless sensor networks. Wirel Netw 23(6):1953–1966

    Article  Google Scholar 

  23. Liu Y, Dong M, Ota K, Liu A (2016) Active trust: Secure and trustable routing in wireless sensor networks. IEEE Transactions on Information Forensics and Security 11(9):2013–2027

    Article  Google Scholar 

  24. Khabiri M, Ghaffari A (2018) Energy-aware clustering-based routing in wireless sensor networks using cuckoo optimization algorithm. Wirel Pers Commun 98(3):2473–2495

    Article  Google Scholar 

  25. Li G, Dong M, Ota K, Wu J, Li J, Ye T (2017) Towards QoE named content-centric wireless multimedia sensor networks with mobile sinks. In Communications (ICC), 2017 IEEE International Conference on IEEE, p 1–6

  26. Dong M, Liu OKA, Guo M (2016) Joint optimization of lifetime and transport delay under reliability constraint wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems 27(1):225–236

    Article  Google Scholar 

  27. Qiu C, Xiao J, Han L, Iqbal MN (2014) Enhanced interval type-2 fuzzy c-means algorithm with improved initial center. Pattern Recogn Lett 38:86–92

    Article  Google Scholar 

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Correspondence to V. Kavidha.

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Kavidha, V., Ananthakumaran, S. Novel energy-efficient secure routing protocol for wireless sensor networks with Mobile sink. Peer-to-Peer Netw. Appl. 12, 881–892 (2019). https://doi.org/10.1007/s12083-018-0688-3

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  • DOI: https://doi.org/10.1007/s12083-018-0688-3

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