무선 센서 네트워크의 에너지 효율 개선을 위한 LEACH 알고리즘
LEACH Algorithm for Improving the Energy Efficient of Wireless Sensor Networks
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Wireless Sensor Networks(WSNs) are a network of an inexpensive low coverage, sensing, and computation nodes. The major difference between the WSNs and the traditional wireless networks is that sensors are extremely sensitive to energy consumption. Energy saving is the important issue in designing the wireless sensor networks. The cluster-based WSNs including a network sensing area are divided into many clusters. And, the very well known technique in cluster-based WSN is especially the low energy adaptive cluster hierarchy(LEACH) and its energy performance is improved due to the hierarchical clustering, probability, and random. But, depending on the problem of the LEACH protocol, with the predetermined probability and random, every round in the WSNs has the different cluster numbers and cluster heads. So, in this paper, an improved algorithm for Low Energy Adaptive Clustering Hierarchy(LEACH) protocol is proposed. The improved LEACH protocol for Clustered Wireless Sensor Networks is aimed at prolonging the lifetime of the sensor networks by balancing the energy consumption of the nodes. Therefore, in order to consume the energy of the nodes balancedly, this paper uses an optimal number for cluster that is to analyze the entire network first to have the optimal cluster numbers and then apply it to form the optimal cluster numbers. Simulation results using MATLAB show that the proposed LEACH algorithm significantly reduces energy consumption and increase the total lifetime of the wireless sensor network.
Abstract
Wireless Sensor Networks(WSNs) are a network of an inexpensive low coverage, sensing, and computation nodes. The major difference between the WSNs and the traditional wireless networks is that sensors are extremely sensitive to energy consumption. Energy saving is the important issue in designing the wireless sensor networks. The cluster-based WSNs including a network sensing area are divided into many clusters. And, the very well known technique in cluster-based WSN is especially the low energy adaptive cluster hierarchy(LEACH) and its energy performance is improved due to the hierarchical clustering, probability, and random. But, depending on the problem of the LEACH protocol, with the predetermined probability and random, every round in the WSNs has the different cluster numbers and cluster heads. So, in this paper, an improved algorithm for Low Energy Adaptive Clustering Hierarchy(LEACH) protocol is proposed. The improved LEACH protocol for Clustered Wireless Sensor Networks is aimed at prolonging the lifetime of the sensor networks by balancing the energy consumption of the nodes. Therefore, in order to consume the energy of the nodes balancedly, this paper uses an optimal number for cluster that is to analyze the entire network first to have the optimal cluster numbers and then apply it to form the optimal cluster numbers. Simulation results using MATLAB show that the proposed LEACH algorithm significantly reduces energy consumption and increase the total lifetime of the wireless sensor network.
참고문헌 (22)
- W. Rabiner Heinzelman, "Adaptive Protocols for Information Dissemination in Wireless Sensor Networks", Proc. of the 5th ACM, 1999, 174~185
- W. Rabiner Heinzelman, "Energy-Efficient Communication Protocol for Wireless Microsensor Networks", Proc. of the Hawaii International Conference on System Science, pp.1~10 (2000)
- I. Akyildiz, "A Survey on Sensor Networks", IEEE Communication Magazne, 40(8), pp.102~114 (2002)
- Wendi Beth Heinzelman, "Application-Specific Protocol Architectures for Wireless Networks", PhD, pp.2000
- S. Bandyopadhyay, "An Energy-Efficient Hierarchial Clustering Algorithm for Wireless Sensor Networks", IEEE INFOCOM, pp.1713~1723 (2003)
- W. B. Heinzelman, "An Application-Specific Protocol Architecture for Wireless Microsensor Networks", IEEE Transactions on Wireless Communications, 1(4), pp.660~670 (2002)
- Ossama Younis, "HEED : A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad-hoc Sensor networks", IEEE Transaction on Mobile Computing, 3 (2004)
- 임규근, "무선 센서 네트워크에서 개선된 LEACH 알고리즘", 공학기술논문지, 8(1), pp.65~70 (2015), 공학기술연구원
- D. Braginsky, "Rumor Routing Algorithm For Sensor Networks", Proceedings of the First ACM International Workshop on Wireless Sensor Networks and Applications (WSNA 2002), pp.1~12 (2002)
- E. M. Royer, "A Review of Current Routing Protocols for Ad-Hoc Mobile Wireless Networks", IEEE Personal Communications, 46(55), pp.1998~ (1998)
- C. Intanagonwiwat, "Directed Diffusion: A scalable and robust communication paradigm for sensor networks", Proc. of the 6th annual Int'l. Conf. on Mobile computing and Networks (MobiCom 2000) (2000)
- M. Ettus, "System Capacity, Latency, and Power Consumption in Multihop-routed SS-CDMA Wireless Networks", Proc. Radio and Wireless Conf. (RAWCON), pp.55~58 (1998)
- Manjeshwar, "TEEN : A Routing Protocol for Enhanced Efficiency in Wireless sensor Networks", Proc. of 15th Int'l. Conf. of Parallel and Distributed Processing Sysposium, pp.2009~2015 (2001)
- M. Satyanarayanan, "Pervasive Computing Vision and Challenges", IEEE Personal Communications, 8(4), pp.10~17 (2001)
- S. D. Muruganathan, "A centralized energyefficient routing protocol for wireless sensor networks", IEEE Communications Magazine, 43(3), pp.S8~13 (2005)
- Geographical and Energy-Aware Routing: A Recursive Data Dissemination protocol for Wireless Sensor Networks, "Y. Yu", UCLA, ~, pp.UCLA-CSDTR-010023 (2001)
- A. Manjeshwar, "An Analytical Model for Information Retrieval in Wireless Sensor Networks Using Enhanced APTEEN Protocol", IEEE transactions on parallel and distributed systems, 13(12), pp.1290~1302 (2002)
- S. Lindsey, "PEGASIS:Power-Efficient GAthering in Sensor Information Systems", Proceedings of the IEEE Aerospace Conference (2002)
- A. Abbasi, "A survey on clustering algorithms for wireless sensor networks", Computer Communications, 30, pp.2826~2841 (2007)
- Mao Ye, "EECS: AN Energy Efficient Clustering Scheme in Wireless Sensor Networks", PCCC 2005 (2005)
- G. Smaragdakis, "SEP : A stable election protocol for clustered heterogenous wireless sensor networks", International Workshop on SANPA, 660(670), pp.660~670 (2004)
- T. J. Chan, "Optimal Cluster Number Selection in Ad-hoc Wireless Sensor Networks", WSEAS TRANSACTIONS on COMMUNICATIONS, 7(8), pp.839~846 (2008)