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Efficient data transfer in clustered IoT network with cooperative member nodes

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Abstract

Wireless Sensor Network (WSN) is composed of numerous tiny smart sensors nodes integrated with Internet of Things (IoT) play a crucial role in many applications. The IoT connects physical devices to form a network which consist of software, sensor for exchange of information. Clustering is most common technique for efficient energy utilization in WNS. Sensor nodes when they have data, forwards it to Cluster Head (CH) and CH transfers the received data from the sensor nodes to the sink. When the sink nodes are far away from CH, long-haul transmission consumes higher power. In this paper we propose efficient data transfer mechanism for clustered IoT network through the cooperation of member nodes. First, we use greedy algorithm to select cooperative sensor nodes to act as relay for long distance transmission. Then, to encourage sensor nodes in data forwarding, cluster head uses priority buffers to prioritize assisting sensor nodes data. Simulation results show that, the proposed approach conserves energy and increases the life-time of clustered IoT network.

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References

  1. Yetgin H, Cheung KTK, El-Hajjar M, Hanzo LH (2017) A survey of network lifetime maximization techniques in wireless sensor networks. IEEE Communications Surveys & Tutorials 19(2):828–854

    Article  Google Scholar 

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

    Article  Google Scholar 

  3. D. Hoang, R. Kumar, and S. Panda, "Fuzzy C-means clustering protocol for wireless sensor networks," in Industrial Electronics (ISIE), 2010 IEEE International Symposium on, 2010, pp. 3477–3482: IEEE.

  4. Lee J-S, Kao T-Y (2016) An improved three-layer low-energy adaptive clustering hierarchy for wireless sensor networks. IEEE Internet Things J 3(6):951–958

    Article  Google Scholar 

  5. T. D. Nguyen, J. Y. Khan, and D. T. Ngo, "An effective energy-harvesting-aware routing algorithm for WSN-based IoT applications," in Communications (ICC), 2017 IEEE International Conference on, 2017, pp. 1–6: IEEE.

  6. Chong C-Y, Kumar S (2003) Sensor networks: evolution, opportunities, and challenges. Proc IEEE 91(8):1247–1256

    Article  Google Scholar 

  7. Akyildiz I, Su W, Sankarasubramaniam Y, Cayirci E (2002) Wireless sensor networks: a survey. Comput Netw 38(4):393–422

    Article  Google Scholar 

  8. K. Romer and F. Mattern, “The design space of wireless sensor networks,” Wireless Communications, IEEE, vol. 11, no. 6, pp. 54–61, dec. 2004.

  9. G. Booch, R. Maksimchuk, M. Engle, B. Young, J. Conallen, and K. Houston, Object-oriented analysis and design with applications,third edition, 3rd ed. Addison-Wesley Professional, 2007.

  10. Ruiz-Garcia L, Lunadei L, Barreiro P, Robla I (2009) A review of wireless sensor technologies and applications in agriculture and food industry: state of the art and current trends. Sensors 9(6):4728–4750

    Article  Google Scholar 

  11. Pollock KH, Nichols JD, Simons TR, Farnsworth GL, Bailey LL, Sauer JR (2002) Large scale wildlife monitoring studies: statistical methods for design and analysis. Environmetrics 13(2):105–119

    Article  Google Scholar 

  12. Xu L, Collier R, O’Hare GMP (2017) A survey of clustering techniques in WSNs and consideration of theChallenges of applying such to 5G IoT scenarios. IEEE Internet Things J 4:1229–1249

    Article  Google Scholar 

  13. Ghosh, S.; Mondal, S.; Biswas, U. Enhanced PEGASIS using ant colony optimization for data athering in WSN. In Proceedings of the 2016 International Conference on Information Communication and Embedded Systems (ICICES), Chennai, India, 25–26 February 2016.

  14. J. Shah and B. Mishra, "Customized IoT Enabled Wireless Sensing and Monitoring Platform for Smart Buildings," Procedia Technology, vol. 23, pp. 256–263, 2016/01/01/ 2016.

  15. Faheem M, Shah SBH, Asri Ngadi M, Rizwan Butt.Smart Grid Information and Communication Technologies in the Perspective of IoT-enabled Industry 4.0: Opportunities and Challenges”. Computer Science Review (July 2018) Volume 30, November 2018. Pages:1–30

  16. Cui S, Goldsmith AJ, Bahai A (2004) Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks. IEEE J SelAreas Commun 22(6):1089–1098

    Article  Google Scholar 

  17. Zhou Z, Zhou S, Cui J-H, Cui S (2008) Energy-efficient cooperative communication based on power control and selective single-relay in wireless sensor networks. IEEE Trans Wirel Commun 7(8):3066–3078

    Article  Google Scholar 

  18. Shah SBH, Chen Z, Yin F et al (April 2018) Energy and interoperable aware routing for throughput optimization in clustered IoT-wireless sensor networks. Future Generation Computer Systems, Volume 81:372–381

    Article  Google Scholar 

  19. Shah SBH, Chen Z, Yin F et al (May 2018) 3D weighted centroid algorithm & RSSI ranging model strategy for node localization in WSN based on smart devices. Sustainable Cities and Society, Volume 39:298–308

    Article  Google Scholar 

  20. Shah SBH, Chen Z, Yin F et al (2017) Water rippling shaped clustering strategy for the efficient performance of software define wireless sensor networks. Peer to-Peer Netw, Appl ISSN: 1936-6442

    Google Scholar 

  21. Shah SBH, Chen Z, Yin F (March 2017) OPEN: optimized path planning algorithm with energy efficiency and extending network-lifetime in WSN. CIT Journal of Computing and Information Technology 25(1):1–4

    Article  Google Scholar 

  22. Zhang, X, Zhang, L: Optimizing energy-latency trade-off in wireless sensor networks with mobile element. In: IEEE 16th International Conference on Parallel and Distributed Systems (2010).

  23. Jin Y, Wei D (2010) Latency and energy - consumption optimized task allocation in wireless sensor networks. In, IEEE Wireless Comm and Networking Conference

    Book  Google Scholar 

  24. Allirani A, Suganthi M (2009) An energy sorting protocol with reduced energy and latency for wireless sensor networks. In, IEEE Inter. Conf. on Advance Computing

    Book  Google Scholar 

  25. Boyinbode, O, et al,: A survey on clustering algorithms for wireless sensor networks. In: IEEE 13th International Conference on Network-Based Information Systems (2010).

  26. Heinzelman WB et al (2002) An application specific protocol architecture for wireless sensor network. IEEE Trans Wirel Commun 4:660–670

    Article  Google Scholar 

  27. Fadel E, Faheem M, Gungor VC, Nassef L, Akkari N, Malik MG, Almasri S, Akyildiz IF (2017 Mar 15) Spectrum-aware bio-inspired routing in cognitive radio sensor networks for smart grid applications. Comput Commun 101:106–120

    Article  Google Scholar 

  28. Faheem M, Abbas MZ, Tuna G, Gungor VC (2015) EDHRP: energy efficient event driven hybrid routing protocol for densely deployed wireless sensor networks. J Netw Comput Appl 58:309–326

    Article  Google Scholar 

  29. Coso AD, Spagnolini U, Ibars C (2007) Cooperative distributed MIMO channels in wireless sensor networks. IEEE J Sel Areas Commun 25(2):402–414

    Article  Google Scholar 

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Authors and Affiliations

  1. School Of Computer Science and Technology, Dalian University of Technology, Dalian, People’s Republic of China

    Begum Seema & Nianmin Yao

  2. School of Software, Dalian University of Technology, Dalian, China

    Anil Carie & Syed Bilal Hussain Shah

  3. School of Computer Science, VIT-AP, Amaravati, India

    Anil Carie

Authors
  1. Begum Seema
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  2. Nianmin Yao
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  3. Anil Carie
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  4. Syed Bilal Hussain Shah
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Correspondence to Begum Seema.

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Seema, B., Yao, N., Carie, A. et al. Efficient data transfer in clustered IoT network with cooperative member nodes. Multimed Tools Appl 79, 34241–34251 (2020). https://doi.org/10.1007/s11042-020-08775-z

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  • DOI: https://doi.org/10.1007/s11042-020-08775-z

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