Power-Aware Adaptive Techniques for Wireless Sensor Networks

20. Aug 2012

Power-Aware Adaptive Techniques for Wireless Sensor Networks

  • What: Talk
  • Who: Mahtab Alam, INRIA/IRISA, Rennes France
  • When: Monday August 20th, 2012, 9:00am – 10:00am
  • Where: University of Bern, Neubrückstrasse 10, room 302

Abstract

Energy consumption is one of the important design constraints in wireless sensor networks (WSN). Researches on energy optimizations are numerous and are applied at all level of design. In this talk I will focus on algorithmic-level optimizations for energy reduction in WSN. First, accurate energy model will be presented (in brief) which rely on power measurements. Second and main focus of the talk is on traffic-aware dynamic (TAD-MAC) protocol. MAC layer plays a pivotal role for energy management in WSN because the radio transceiver’s (most energy consuming component) activity is being controlled by MAC layer.

Moreover, idle listening is the dominant energy waste in most of the MAC protocols. The protocol relies on dynamic adaptation of wake-up interval at the run time based on traffic characteristics. The proposed technique allows the wake-up interval to converge efficiently to a steady state for fixed and variable traffic rates, which results in optimized energy consumption. A comparison with other energy efficient protocols for three different widely used radio chips and a brief discussion/comparison with MaxMAC and BEAM will be presented. Finally the transmit power optimization over static and dynamic conditions will be presented (in brief).

Biography

Muhammad Mahtab Alam received the B.E. degree in Telecommunication from Allama Iqbal Open University (A.I.O.U), Islamabad, Pakistan in 2004 and M.Sc. degree in Electrical Engineering (Applied Signal Processing and Implementation) from Aalborg University (AAU), Denmark, in 2007. From 2007 until 2009 he was working as research assistant in Center for Software Defined Radio (CSDR) at AAU, Denmark. Currently, he is a PhD student in University of Rennes 1 at the IRISA/INRIA Laboratory. His research interests are in fields of wireless sensor networks specific to energy efficient communication protocols and accurate energy modeling, embedded systems, digital signal processing and software defined radio.