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has been cited by the following article:

• TITLE: Clustering in Wireless Multimedia Sensor Networks

  AUTHORS: Pushpender Kumar, Narottam Chand

  KEYWORDS: Wireless Multimedia Sensor Network; Clustering; Spectral Graph Partitioning; Eigenvector; Eigenvalue

  JOURNAL NAME: Journal of Sensor Technology, Vol.3 No.4, December 20, 2013

  ABSTRACT: Wireless Multimedia Sensor Networks (WMSNs) are comprised of small embedded audio/video motes capable of extracting the surrounding environmental information, locally processing it and then wirelessly transmitting it to sink/base station. Multimedia data such as image, audio and video is larger in volume than scalar data such as temperature, pressure and humidity. Thus to transmit multimedia information, more energy is required which reduces the lifetime of the network. Limitation of battery energy is a crucial problem in WMSN that needs to be addressed to prolong the lifetime of the network. In this paper we present a clustering approach based on Spectral Graph Partitioning (SGP) for WMSN that increases the lifetime of the network. The efficient strategies for cluster head selection and rotation are also proposed as part of clustering approach. Simulation results show that our strategy is better than existing strategies.