an analytical evaluation of a tradeoff between power efficiency and scheduling updating responsiveness in a tdma paradigm
This paper presents an analytical framework for evaluating a tradeoff between the schedule information freshness and the energy consumption in a TDMA environment. In practice, we investigate the importance of the speed of schedules updating in a totally distributed TDMA MAC protocol. In order to do that, we developed an analytical framework based on Markov chain that permits to measure a tradeoff between the cost associated with the update process and the freshness of information. The power consumption associated with the schedule updating process and the speed of the schedule updating process are considered as two antagonis QoS parameters. The main objective of this paper is to maximize the probability that the Schedule Update Process is realized in an interval time [0, t], given a constraint in terms of power consumption 0 ? cost ? c. We will show an application of this analytical framework to a totally distributed TDMA protocol, the E-TDMA.
tdma mac markov processes wireless networks energy efficiency