Energy Efficient Clustering Protocol Using Fuzzy Logic for Heterogeneous WSNs

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• 作者：Samayveer Singh ; Satish Chand ; Bijendra Kumar
• 关键词：Heterogeneity ; Energy efficiency ; Fuzzy logic ; Lifetime ; Sensor nodes
• 刊名：Wireless Personal Communications
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：86
• 期：2
• 页码：451-475
• 全文大小：1,041 KB
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  26.Chand, S., Singh, S., & Kumar, B. (2014). Heterogeneous HEED protocol for wireless sensor networks. Wireless Personal Communications, 77(3), 2117–2139.CrossRef
  27.Singh, S., Chand, S., Kumar, R., & Kumar, B. (2013) A heterogeneous network model for prolonging lifetime in 3-D WSNs. IEEE/IET. In 4th International conference CONFLUENCE 2013: The next generation information technology summit, 26th–27th Sept. 2013 (pp. 257–262).
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  30.Taheri, H., Neamatollahi, P., Younis, O. M., Naghibzadeh, S., & Yaghmaee, M. H. (2012). An energy-aware distributed clustering protocol in wireless sensor networks using fuzzy logic. Ad Hoc Networks, 10(7), 1469–1481.CrossRef
  
• 作者单位：Samayveer Singh (1)
  Satish Chand (1)
  Bijendra Kumar (1)
  
  1. Division of Computer Engineering, Netaji Subhas Institute of Technology, New Delhi, 110078, India
  
• 刊物类别：Engineering
• 刊物主题：Electronic and Computer Engineering
  Signal,Image and Speech Processing
  Processor Architectures
  
• 出版者：Springer Netherlands
• ISSN：1572-834X

文摘

In this paper, we propose a multilevel heterogeneous network model characterized by a parameter, called model parameter that helps the model defining a network of 0-level, 1-level, 2-level, 3-level, and 4-level heterogeneity. We consider the hybrid energy efficient distributed (HEED) clustering protocol to estimate the network lifetime and accordingly name it as HEEDML (HEED MultiLevel). Depending on the heterogeneity, its variants have been named as HEEDML-0, HEEDML-1, HEEDML-2, HEEDML-3, and HEEDML-4 for 0-level, 1-level, 2-level, 3-level, and 4-level heterogeneity. The HEEDML-0 is the original HEED. The model parameter also determines the numbers of nodes of each type. We use the same parameters as in the HEED to decide the cluster heads: residual energy and node density. We also consider fuzzy implementation of the HEEDML. The HEEDML-1, HEEDML-2 HEEDML-3, and HEEDML-4 increase network lifetime by 39.61, 117.38, 182.69, and 223.7 %, corresponding to the increase in the network energy as 9.2, 17.40, 21.80, and 24 %, with respect to the HEEDML-0. The fuzzy implementation further increases the network lifetime. The HEEDML-FL-0, HEEDML-FL-1, HEEDML-FL-2, HEEDML-FL-3, and HEEDML-FL-4 increase the network lifetime by 193.84, 270.31, 375.84, 448.33, and 589.07 %, corresponding to the same increase in network energy as that for HEEDML (all levels) with respect to that of the HEEDML-0. The HEEDML-FL-0 increases the network lifetime by 193.84 % with respect to the original HEED without increasing the network energy. The packet delivery, total energy consumption, throughput, average delay, and traffic load have better results. Keywords Heterogeneity Energy efficiency Fuzzy logic Lifetime Sensor nodes