Modeling energy consumption in single-hop IEEE 802.11 ad hoc networks

Carvalho, Marcelo M.; Margi, Cintia Borges; Obraczka, Katia; Garcia-Luna-Aceves, J.J.

doi:10.1109/icccn.2004.1401671

Cited by 71 publications

(50 citation statements)

References 26 publications

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“…Depending on the application, developers must choose the connection medium best suited to application requirements, such as medium availability and transmission rate. The differences between transmission media are generally subtle and may even depend on environmental factors [10], such as network congestion that are impossible to accurately predict. To deterministically and accurately quantify performance, therefore, testing must be performed in environmentally-accurate situations.…”

Section: Design and Behavioral Challenges Of Mobile Application Develmentioning

confidence: 99%

Optimizing Mobile Application Performance with Model–Driven Engineering

Thompson

White

Dougherty

et al. 2009

Software Technologies for Embedded and Ubiquitous Systems

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Abstract. Future embedded and ubiquitous computing systems will operate continuously on mobile devices, such as smartphones, with limited processing capabilities, memory, and power. A critical aspect of developing future applications for mobile devices will be ensuring that the application provides sufficient performance while maximizing battery life. Determining how a software architecture will affect power consumption is hard because the impact of software design on power consumption is not well understood. Typically, the power consumption of a mobile software architecture can only be determined after the architecture is implemented, which is late in the development cycle when design changes are costly.Model-driven Engineering (MDE) is a promising solution to this problem. In an MDE process, a model of the software architecture can be built and analyzed early in the design cycle to identify key characteristics, such as power consumption. This paper describes current research in developing an MDE tool for modeling mobile software architectures and using them to generate synthetic emulation code to estimate power consumption properties. The paper provides the following contributions to the study of mobile software development: (1) it shows how models of a mobile software architecture can be built, (2) it describes how instrumented emulation code can be generated to run on the target mobile device, and (3) it discusses how this emulation code can be used to glean important estimates of software power consumption and performance.

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Section: Design and Behavioral Challenges Of Mobile Application Develmentioning

confidence: 99%

Optimizing Mobile Application Performance with Model–Driven Engineering

Thompson

White

Dougherty

et al. 2009

Software Technologies for Embedded and Ubiquitous Systems

View full text Add to dashboard Cite

show abstract

“…While the aforementioned papers mainly concentrate on the throughput and delay performance, other papers, such as [28,29], analyze the energy consumption of DCF. These papers show that DCF causes high energy consumption in an STA during idle and overhearing periods.…”

Section: Analytical Models For 80211 Mechanismsmentioning

confidence: 99%

Performance Analysis of a Burst Transmission Mechanism Using Microsleep Operation for Green IEEE 802.11 WLANs

et al. 2017

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This paper evaluates the performance of a burst transmission mechanism using microsleep operation to support high energy efficiency in IEEE 802.11 Wireless Local Area Networks (WLANs). This mechanism is an implementation of the IEEE 802.11ac Transmission Opportunity Power Save Mode (TXOP PSM). A device using the TXOP PSM-based mechanism can switch to a low-power sleep state for the time that another device transmits a burst of data frames to a third one. This operation is called microsleep and its feasibility strongly depends on the time and energy consumption that a device incurs in the transitions from and to the sleep state. This paper accounts for the impact of these transitions in the derivation of an analytical model to calculate the energy efficiency of the TXOP PSM-based mechanism under network saturation. Results obtained show that the impact of the transition requirements on the feasibility of microsleep operation can be significant depending on the selected system parameters, although it can be reduced by using burst transmissions. When microsleep operation is feasible, the TXOP PSM-based mechanism can improve the energy efficiency of other legacy mechanisms by up to 424% under high traffic loads.

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“…Current simulators do not automatically measure energy consumption, leaving it up to the protocol designer to explicitly write code to account for it (Carvalho et al, 2004;Margi and Obraczka, 2004). The development in energy consumption in WSN has been a central focus to most protocol developers since it is considered vital to the communication process.…”

Section: Energy Consumptionmentioning

confidence: 99%

Comparative Study on Energy Consumption in Dynamic Window Secured Implicit Geographic Forwarding Routing Protocol

Umar¹

2014

Journal of Computer Science

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An Ideal WSNs should operate with the least possible energy required in order to increase the lifetime of the sensor nodes and at the same time, ensure network connectivity. But the Inherent power limitation makes power-awareness a critical requirement for WSN, this calls for the need to manage energy in sensor nodes. Also In order to ensure successful transmission of data from sensor node source to destination, it becomes necessary to maintain network availability. The network must be resilient to individual node failure which can happen due to zero power posses by the node and due to security attacks posed on the node and the network. Dynamic Window Secured Implicit Geographic Forwarding (DWSIGF) routing protocol has proven to be robust, efficient and resistant to some security attack which causes failure in network availability. However the extent to which energy is consumed in sensor nodes which deploys DWSIGF as its routing protocol has never been mentioned. In this research, we performed a comparative study on energy consumption in DWSIGF routing protocol. Using the first order radio model, we determined the energy consumed in a network. The protocol (DWSIGF) is matched up against its counterpart SIGF as the traffic is increased. Observation shows that DWSIGF due to the variable timing assigned to the CTS collection window, CTS signal fails to reach destination as collection window time expires, thus the need for retransmission. This in turn consumes more energy than the counterpart SIGF which has a fixed CTS collection time. The simulation work was done using Matlab 7.0. Energy consumed in the random variant of both protocols (DWSIGF and SIGF) was also observed to be higher than the priority variant of the protocols.

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Modeling energy consumption in single-hop IEEE 802.11 ad hoc networks

Cited by 71 publications

References 26 publications

Optimizing Mobile Application Performance with Model–Driven Engineering

Optimizing Mobile Application Performance with Model–Driven Engineering

Performance Analysis of a Burst Transmission Mechanism Using Microsleep Operation for Green IEEE 802.11 WLANs

Comparative Study on Energy Consumption in Dynamic Window Secured Implicit Geographic Forwarding Routing Protocol

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