• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Interference-free Clustering Protocol for Large-Scale and Dense Wireless Sensor Networks

Vol. 13, No.3, March 31, 2019
10.3837/tiis.2019.03.007, Download Paper (Free):

Abstract

Saving energy is a big challenge for Wireless Sensor Networks (WSNs), which becomes even more critical in large-scale WSNs. Most energy waste is communication related, such as collision, overhearing and idle listening, so the schedule-based access which can avoid these wastes is preferred for WSNs. On the other hand, clustering technique is considered as the most promising solution for topology management in WSNs. Hence, providing interference-free clustering is vital for WSNs, especially for large-scale WSNs. However, schedule management in cluster-based networks is never a trivial work, since it requires inter-cluster cooperation. In this paper, we propose a clustering method, called Interference -Free Clustering Protocol (IFCP), to partition a WSN into interference-free clusters, making timeslot management much easier to achieve. Moreover, we model the clustering problem as a multi-objective optimization issue and use non-dominated sorting genetic algorithm II to solve it. Our proposal is finally compared with two adaptive clustering methods, HEED-CSMA and HEED-BMA, demonstrating that it achieves the good performance in terms of delay, packet delivery ratio, and energy consumption.


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Cite this article

[IEEE Style]
Zhihong Chen, Hai Lin, Lusheng Wang and Bo Zhao, "Interference-free Clustering Protocol for Large-Scale and Dense Wireless Sensor Networks," KSII Transactions on Internet and Information Systems, vol. 13, no. 3, pp. 1238-1259, 2019. DOI: 10.3837/tiis.2019.03.007

[ACM Style]
Chen, Z., Lin, H., Wang, L., and Zhao, B. 2019. Interference-free Clustering Protocol for Large-Scale and Dense Wireless Sensor Networks. KSII Transactions on Internet and Information Systems, 13, 3, (2019), 1238-1259. DOI: 10.3837/tiis.2019.03.007