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X. Xuan, J. Chen, S. Zhen and Y. Kuo, “Optimal Hops-Based Adaptive Clustering Algorithm,” International Conference on Solid State Devices and Materials Science, Macao, 1-2 April 2012, Vol. 25, pp. 1307-1314.

has been cited by the following article:

• TITLE: Probabilistic Energy Value for Clustering in Wireless Sensors Networks

  AUTHORS: Salim El Khediri, Nejah Nasri, Anne Wei, Abdennaceur Kachouri

  KEYWORDS: Wireless Sensor Network; Clustering; Network Lifetime; Energy Thresh; Optimization

  JOURNAL NAME: Wireless Sensor Network, Vol.5 No.2, February 25, 2013

  ABSTRACT: Wireless sensors networks consist of a number of sensors nodes connected through a wireless network that collect data to be treated locally or relayed to the sink node using multi-hop wireless transmission. Several solutions were proposed to minimize the amount of information flowing within the network. Clustering algorithms is one solution and mechanism that enables the creation of sensor’s clusters; each sensor is dominated by elected routers. In order to limit energy consumption, the clustering around the sensor is established: sensors linked to the router transmit relayed data thereafter outward. The number of messages sent and the transmission range are thus reduced. This article tackles this issue by unveiling proposed techniques in the same line of researches and proposing a clustering mechanism based on the amount of energy remaining in the sensors. The simulation results show that proposed method can achieve higher network lifetime by comparison to original LEACH.