Investigating dynamic polling intervals for wireless sensor network applications with bursty traffic


Department of Computer Science

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Document Type

Conference Paper

Publication Date


Author Affiliation

  • Shama Siddiqui is Ph.D. Scholar at the Faculty of Computer Science, Institute of Business Administration, Karachi
  • Anwar Ahmed Khan is Ph.D. Scholar at the Faculty of Computer Science, Institute of Business Administration, Karachi
  • Sayeed Ghani is Associate Dean of the Faculty of Computer Science at Institute of Business Administration, Karachi

Conference Name

2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)

Conference Location

Daegu, Korea (South)

Conference Dates

16-18 November 2017


85042360335 (Scopus)

First Page



Institute of Electrical and Electronics Engineers (IEEE)

Abstract / Description

A large number of WSN applications with bursty traffic have emerged in the recent past such as rare event detection and forest fire monitoring. Bursty traffic in Wireless Sensor Networks (WSNs) offers various challenges in terms of reliability and latency. Unlike periodic monitoring, energy consumption is far more challenging to deal with in WSN applications with bursty traffic due to long periods of inactivity followed by certain bursts. In this paper, we study the influence of using dynamic channel polling intervals for dealing with the bursty traffic. We refer to dynamic polling as the polling process based on probabilistic distribution chosen in correspondence to the incoming traffic. A simple asynchronous MAC protocol has been developed to illustrate the difference in WSN performance when deterministic, exponential and dynamic polling interval distributions are used. The experiments have been conducted using TinyOS source code and Avrora emulator to evaluate the proposed scheme in terms of energy consumption and latency. Performance improvement brought to WSN through dynamic polling has been validated by comparing the results with those of SCP-MAC. It has been found that the MAC with the dynamic polling intervals outperforms deterministic and exponential polling distributions as well as SCP-MAC for the bursty traffic.

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