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Ȩ Ȩ > ¿¬±¸¹®Çå > ¿µ¹® ³í¹®Áö > TIIS (Çѱ¹ÀÎÅͳÝÁ¤º¸ÇÐȸ)

TIIS (Çѱ¹ÀÎÅͳÝÁ¤º¸ÇÐȸ)

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) Interference-free Clustering Protocol for Large-Scale and Dense Wireless Sensor Networks
¿µ¹®Á¦¸ñ(English Title) Interference-free Clustering Protocol for Large-Scale and Dense Wireless Sensor Networks
ÀúÀÚ(Author) Zhihong Chen   Hai Lin   Lusheng Wang   Bo Zhao  
¿ø¹®¼ö·Ïó(Citation) VOL 13 NO. 03 PP. 1238 ~ 1259 (2019. 03)
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(Korean Abstract)
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(English 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.
Å°¿öµå(Keyword) Wireless sensor network   clustering   energy saving   interference-free  
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