Medium access control analytical modeling and optimization in unslotted IEEE 802.15.4 wireless sensor networks

Authors:
C. Fischione;S. Coleri Ergen;P. Park;K. H. Johansson;A. Sangiovanni-Vincentelli
Affiliations:
ACCESS Linnaeus Center, Electrical Engineering, Royal Institute of Technology, Stockholm;WSN Berkeley Lab;ACCESS Linnaeus Center, Electrical Engineering, Royal Institute of Technology, Stockholm;ACCESS Linnaeus Center, Electrical Engineering, Royal Institute of Technology, Stockholm;University of California at Berkeley, Electrical Engineering and Computer Sciences Department, CA
Venue:
SECON'09 Proceedings of the 6th Annual IEEE communications society conference on Sensor, Mesh and Ad Hoc Communications and Networks
Year:
2009

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Abstract

Accurate analytical expressions of delay and packet reception probabilities, and energy consumption of duty-cycled wireless sensor networks with random medium access control (MAC) are instrumental for the efficient design and optimization of these resource-constrained networks. Given a clustered network topology with unslotted IEEE 802.15.4 and preamble sampling MAC, a novel approach to the modeling of the delay, reliability, and energy consumption is proposed. The challenging part in such a modeling is the random MAC and sleep policy of the receivers, which prevents to establish the exact time of data packet transmission. The analysis gives expressions as function of sleep time, listening time, traffic rate and MAC parameters. The analytical results are then used to optimize the duty cycle of the nodes and MAC protocol parameters. The approach provides a significant reduction of the energy consumption compared to existing solutions in the literature. Monte Carlo simulations by ns2 assess the validity of the analysis.