On the energy efficiency of IEEE 802.11 WLANs

Abstract

Abstract-Understanding the energy consumption of wireless interfaces is critical to provide guidelines for the design and implementation of new protocols or interfaces. In this work we analyze the energy performance of an IEEE 802.11 WLAN. Our contributions are as follows: i) we present an accurate analytical model that is able to predict the energy consumption, ii) we present an approximate model that sacrifices accuracy for the sake of analytical tractability, iii) based on this simplified analysis, we derive the optimal configuration to maximize energy efficiency of a WLAN, and iv) finally, we also analyze the tradeoff between throughput and energy efficiency that IEEE 802.11 imposes. While most of these results consider a homogeneous WLAN scenario where all stations share the same energy features, we also discuss the case of heterogeneous environments, where different devices show different power consumption characteristics.

Experimental performance analysis of topology control in mobile ad hoc networks based on local information no topology heuristic

“…Hence, only OLSR is considered in this work. The power consumption model used in this work is coincided with the model presented in the earlier works [10,19,35]. The power consumption in Idle and Reception (Rx) states is fixed at a constant level, whereas the power consumption in Tx state is varied.…”

Energy efficiency and quality of service optimization for constant bit rate real-time applications in 802.11 networks

“…Before describing our optimization strategy, it is worthy to have a look at Figure 4, which is a sketch of the curve that relates energy efficiency and . Energy efficiency optimization problems seek the obtention of the value that yields the peak of energy efficiency ( e opt ) by setting one MAC control variable, usually W , to an optimum value, while the other variable, r, is left at its default value [9]. We also address this maximum energy efficiency problem, but our goal also includes attaining the most positive influence possible in QoS.…”

“…Most studies utilize Markov chains based models (e.g., Bianchi [8]) to obtain the probability of transmission in the channel , used afterward to develop an analytical expression for the energy efficiency that is subjected to optimization. Because both W and r have an impact on , state-of-the-art proposals have been focused on finding the best value of one of these parameters (normally the contention window W ) that optimizes energy efficiency, whereas the other parameter is left at its default value [9][10][11]. Ideal channel and saturated traffic conditions are commonly assumed, facilitating mathematical tractability.…”

Energy efficiency analysis of a cooperative scheme for wireless local area networks

“…has triggered many research activities devoted to the energy analysis of DCF. An example can be found in [3], where the authors develop an energy model of DCF and suggest a suitable approximation in order to find the optimal size of the contention window, from the energy point of view, in idealistic channel conditions. To overcome this simplistic channel assumption, in [4], the energy efficiency with regard to the number of nodes has been evaluated by considering a Markov chain to model the channel errors.…”