Review: A1: An energy efficient topology control algorithm for connected area coverage in wireless sensor networks

  • Authors:
  • Sajjad Rizvi;Hassaan Khaliq Qureshi;Syed Ali Khayam;Veselin Rakocevic;Muttukrishnan Rajarajan

  • Affiliations:
  • School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan;School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan and School of Engineering and Mathematical Sciences, City ...;School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan;School of Engineering and Mathematical Sciences, City University, London, UK;School of Engineering and Mathematical Sciences, City University, London, UK

  • Venue:
  • Journal of Network and Computer Applications
  • Year:
  • 2012

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Abstract

Energy consumption in Wireless Sensor Networks (WSNs) is of paramount importance, which is demonstrated by the large number of algorithms, techniques, and protocols that have been developed to save energy, and thereby extend the lifetime of the network. However, in the context of WSNs routing and dissemination, Connected Dominating Set (CDS) principle has emerged as the most popular method for energy-efficient topology control (TC) in WSNs. In a CDS-based topology control technique, a virtual backbone is formed, which allows communication between any arbitrary pair of nodes in the network. In this paper, we present a CDS based topology control algorithm, A1, which forms an energy efficient virtual backbone. In our simulations, we compare the performance of A1 with three prominent CDS-based algorithms namely energy-efficient CDS (EECDS), CDS Rule K and A3. The results demonstrate that A1 performs better in terms of message overhead and other selected metrics. Moreover, the A1 not only achieves better connectivity under topology maintenance but also provides better sensing coverage when compared with other algorithms.