Modeling energy efficiency in wireless internet communication

Abstract

For wireless mobile Internet users the length of the battery life is one of the most important performance factors. The energy efficiency of the data transmission over radio is a key component affecting the battery lifetime. This paper investigates WLAN energy consumption in network communication on a Mobile handset. We introduce an energy model that allows analysis and simulation of the energy efficiency of the Internet protocols on a Wireless Network Interface, and have extended the NS-2 simulation platform to allow investigating the energy consumption of the Radio Modem and the Power Amplifier in WLAN 802.11g network interface of a mobile device. We have also validated our model against measurements on real wireless hardware, and show that the simulation results closely match the real world behavior. We claim to present more detailed and accurate model of the WLAN energy consumption than what is done by the past work that allows designing and optimizing future Internet protocols towards more energy efficient behavior.

Practical power modeling of data transmission over 802.11g for wireless applications

“…Compared to previous studies in physical level energy simulation [26], our power model is based on Internet flow characteristics instead of the low level information about radio status transitions. The power simulators based on our models can take traffic files or traffic descriptions as input, and output the power consumption during the data transmission.…”

Energy consumption anatomy of 802.11 devices and its implication on modeling and design

“…The results are extended in [14] for different modulation and coding schemes and transmission power configurations, and a similar approach is followed in a recent work [18] for the case of 802.11n. While in these cases the 802.11 interface is treated as a whole, [32] distinguishes between the (approximately constant) Application-Specific Integrated Circuit (ASIC) consumption, and the Power Amplifier (PA) consumption occurring only outside idle periods. None of these works analyze the energy consumption of a frame as it is delivered to/from the NIC.…”

Energy and Content Aware Multi-Homing Video Transmission in Heterogeneous Networks

“…While Algorithm 1 can efficiently solve (6), especially for a large-size problem, we need a powerful optimization solver to be available at the MT in order to solve (10), such as CPLEX [12], for the optimal power allocation and packet scheduling. Hence, in the next section, we aim to develop a greedy algorithm that has performance very close to the optimal solution and require simple operations.…”

“…Hence, the MT operational time in between battery charging has become a significant factor in the user perceived QoS [9]. Besides developing new battery technology with improved capacity, the operational period of an MT between battery chargings can be extended through managing its energy consumption [10]. Thus, packet scheduling should be energy-aware in order to work under the MT battery limitation.…”

“…The proposed framework takes account of the energy limitation of MTs and the required QoS for video streaming applications, and utilizes the available opportunities in the heterogeneous wireless access medium. Since data transmission over a wireless radio interface consumes a significant fraction of MT energy [10], we focus on an uplink scenario where a mobile user captures live videos on his/her MT and transmits them for posting on social network sites [5]. We summarize the contributions of this paper in the following:…”