• Title of article

    A survey on energy efficient coverage protocols in wireless sensor networks

  • Author/Authors

    more, avinash narsee monjee institute of management studies (nmims) - school of technology management and engineering - department of communication engineering, India , raisinghani, vijay narsee monjee institute of management studies (nmims) - school of technology management and engineering - department of information technology, India

  • From page
    428
  • To page
    448
  • Abstract
    A Wireless Sensor Network (WSN) is used to monitor an area for events. Each node in the WSN has a sensing range and a communication range. The sensing coverage of a sensor node is the area determined by the sensing range of the sensor node. Sensing coverage of the network is the collective coverage of the sensor nodes in a WSN. Sufficient number of sensor nodes need to be deployed to ensure adequate coverage of a region. Further, since sensor nodes have limited battery life, it is also essential to reduce the energy consumption. This would help improve the network lifetime and thus the coverage lifetime. To reduce energy consumption in the WSN, some of the nodes with overlapping sensing areas could be turned off using a coverage optimization protocol. In this paper, we discuss various coverage optimization protocols. These protocols are broadly classified as clustering and distributed protocols. Further, these protocols are classified based on the type of sensing model used, node location information, and mechanism used to determine neighboring node information (based on probe or computational geometry). In this paper, we review the key coverage optimization protocols and present open research issues related to energy efficient coverage.
  • Keywords
    Wireless sensor networks , Deterministic sensing model , Probabilistic sensing model , Sensing coverage , Radio coverage , Energy efficiency
  • Journal title
    Journal Of King Saud University - Computer an‎d Information Sciences
  • Journal title
    Journal Of King Saud University - Computer an‎d Information Sciences
  • Record number

    2713766