Ines El Korbi

Work place: High Institute of Computer Science, University of Tunis Manar, 1068, Tunis, Tunisia

E-mail: ines.korbi@ensi.rnu.tn

Website:

Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Computer Networks

Biography

Dr. Inès El Korbi received the engineering, master’s, and PhD degrees in computer science in 2003, 2005, and 2009, respectively, from the National School of Computer Science, University of Manouba, Tunisia. She is currently an assistant professor at High Institute of Computer Science, Tunisia and a senior researcher at National School of Computer Science, Tunisia. She is preparing the associate professor degree in the computer networks domain. She supervises several master’s and PhD theses, especially in the wireless networks field. Her researches are conducted in cooperation with many scientific research teams (INRIA Rocquencourt, France, LIGM Paris Est, France, LIP-6 UPMC Paris VI, France, and University of the District of Columbia (UDC), USA.

Author Articles
Performance Evaluation of Unslotted CSMA/CA for Wireless Sensor Networks: Energy Consumption Analysis and Cross Layer Routing

By Ines El Korbi Leila Azouz Saidane

DOI: https://doi.org/10.5815/ijcnis.2017.06.01, Pub. Date: 8 Jun. 2017

The IEEE 802.15.4 standard is considered as the most notorious MAC layer for wireless sensor networks (WSNs) in both centralized and distributed context. For instance, in multi hop environment, the beaconless IEEE 802.15.4 is used. Several works evaluated the performance of the beaconless IEEE 802.15.4 in terms of average delay, average energy consumption, throughput etc. But, none of the existing studies derived accurate energy consumption bounds of this MAC layer. In this paper, our contribution is twofold. We first propose a comprehensive energy consumption analysis of the unslotted CSMA/CA algorithm. The results are validated through simulation. Then, we exploit our analysis to propose a cross layer routing scheme that enhances the native PEGASIS protocol. Our scheme called Average Energy Enhanced PEGASIS (AE2-PEGASIS) considers the average energy consumption at the MAC layer when constructing the routes to the sink.

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