ERTP: Energy-efficient and Reliable Transport Protocol for data streaming in Wireless Sensor Networks

  • Authors:

  • Tuan Le;Wen Hu;Peter Corke;Sanjay Jha

  • Affiliations:

  • School of Computer Science and Engineering, The University of New South Wales, Sydney, Australia and Autonomous Systems Laboratory, CSIRO ICT Centre, Brisbane, Australia;Autonomous Systems Laboratory, CSIRO ICT Centre, Brisbane, Australia;Autonomous Systems Laboratory, CSIRO ICT Centre, Brisbane, Australia;School of Computer Science and Engineering, The University of New South Wales, Sydney, Australia

  • Venue:
  • Computer Communications
  • Year:
  • 2009

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Abstract

Emerging data streaming applications in Wireless Sensor Networks require reliable and energy-efficient Transport Protocols. Our recent Wireless Sensor Network deployment in the Burdekin delta, Australia, for water monitoring [T. Le Dinh, W. Hu, P. Sikka, P. Corke, L. Overs, S. Brosnan, Design and deployment of a remote robust sensor network: experiences from an outdoor water quality monitoring network, in: Second IEEE Workshop on Practical Issues in Building Sensor Network Applications (SenseApp 2007), Dublin, Ireland, 2007] is one such example. This application involves streaming sensed data such as pressure, water flow rate, and salinity periodically from many scattered sensors to the sink node which in turn relays them via an IP network to a remote site for archiving, processing, and presentation. While latency is not a primary concern in this class of application (the sampling rate is usually in terms of minutes or hours), energy-efficiency is. Continuous long-term operation and reliable delivery of the sensed data to the sink are also desirable. This paper proposes ERTP, an Energy-efficient and Reliable Transport Protocol for Wireless Sensor Networks. ERTP is designed for data streaming applications, in which sensor readings are transmitted from one or more sensor sources to a base station (or sink). ERTP uses a statistical reliability metric which ensures the number of data packets delivered to the sink exceeds the defined threshold. Our extensive discrete event simulations and experimental evaluations show that ERTP is significantly more energy-efficient than current approaches and can reduce energy consumption by more than 45% when compared to current approaches. Consequently, sensor nodes are more energy-efficient and the lifespan of the unattended WSN is increased.