A generalized Markov chain model for effective analysis of slotted IEEE 802.15.4
A generalized Markov chain model for effective analysis of slotted IEEE 802.15.4
A generalized analysis of the IEEE 802.15.4 medium access control (MAC) protocol in terms of reliability, delay and energy consumption is presented. The IEEE 802.15.4 exponential backoff process is modeled through a Markov chain taking into account retry limits, acknowledgements, and unsaturated traffic. Simple and effective approximations of the reliability, delay and energy consumption under low traffic regime are proposed. It is demonstrated that the delay distribution of IEEE 802.15.4 depends mainly on MAC parameters and collision probability. In addition, the impact of MAC parameters on the performance metrics is analyzed. The analysis is more general and gives more accurate results than existing methods in the literature. Monte Carlo simulations confirm that the proposed approximations offer a satisfactory accuracy.
- Royal Institute of Technology Sweden
- University of L'Aquila Italy
IEEE 802.15.4, Exponential backoff, Delay distributions, Collision probability, Model approximation, Effective analysis, Retry limits and acknowledgement, Wireless telecommunication systems, Markov chain models, Wireless networks, Systemvetenskap, informationssystem och informatik, Sensors, Medium access control protocols, Markov processes, Monte Carlo Simulation, Medium access control, Monte Carlo methods, Model approximations, Markov Chain, Computer simulation, IEEE 802.15.4 standard; Markov chain model; Model approximation; Retry limits and acknowledgement, Existing method, Energy consumption, Probability distributions, Markov chain model, Performance metrics, Reliability analysis, IEEE 802.15.4 standard, IEEE 802.15.4 standards, Information Systems
IEEE 802.15.4, Exponential backoff, Delay distributions, Collision probability, Model approximation, Effective analysis, Retry limits and acknowledgement, Wireless telecommunication systems, Markov chain models, Wireless networks, Systemvetenskap, informationssystem och informatik, Sensors, Medium access control protocols, Markov processes, Monte Carlo Simulation, Medium access control, Monte Carlo methods, Model approximations, Markov Chain, Computer simulation, IEEE 802.15.4 standard; Markov chain model; Model approximation; Retry limits and acknowledgement, Existing method, Energy consumption, Probability distributions, Markov chain model, Performance metrics, Reliability analysis, IEEE 802.15.4 standard, IEEE 802.15.4 standards, Information Systems
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