A comparison study on dynamic duty cycle and dynamic channel polling approaches for wireless sensor networks

Faculty / School

Faculty of Computer Sciences (FCS)

Department

Department of Computer Science

Was this content written or created while at IBA?

Yes

Document Type

Conference Paper

Publication Date

6-2018

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

2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC)

Conference Location

Tokyo, Japan

Conference Dates

23-27 July 2018

ISBN/ISSN

85055491706 (Scopus)

First Page

790

Last Page

793

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Abstract / Description

Various dynamic MAC layer approaches have been adopted by researchers for achieving better performance of Wireless Sensor Networks (WSNs). Some of these approaches include Dynamic Duty-Cycle (DDC), multi-channel parallel transmissions, Dynamic Channel Polling (DCP) and adaptive traffic rate adjustments. This work provides a comparative analysis of the two schemes 'dynamic duty cycle' and 'dynamic channel polling' by comparing two protocols T-AAD and ADP-MAC taken as a representative protocol from each category respectively. Avrora simulator has been used for conducting experiments on mica-2 testbed, and energy & delay performance for the two schemes has been compared. Results have revealed that ADP-MAC outperforms T-AAD by reducing the transmission energy and latency, and hence it is more suitable for emerging applications of WSN & IoT.

Citation/Publisher Attribution

Siddiqui, S., Khan, A. A., & Ghani, S. (2018, July). A Comparison Study on Dynamic Duty Cycle and Dynamic Channel Polling Approaches for Wireless Sensor Networks. In 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC) (Vol. 2, pp. 790-793). IEEE.

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