Development of Energy Efficiency Aware Applications Using Commercial Low Power Embedded Systems

Mikhaylov, Konstantin; Tervonen, Jouni; Fadeev, Dmitry

doi:10.5772/38171

Cited by 15 publications

(11 citation statements)

References 33 publications

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“…Based on the value of C B at each stage of simulation is estimated the supplied by the battery voltage V CC . This parameter can be used by the application model or models of other layers to estimate the possibility of launching the operations that require specific voltage levels (consider e.g., [4] for details). Besides, the V CC in the suggested model is used for estimating the current for each WSN node's peripheral device and the cumulative consumed by the WSN node current I cons .…”

Section: Energy Dissipation Model For Analysis Of Energy Efficient Wsnmentioning

confidence: 99%

“…The most important of those are: the supply voltage, consumed by the WSN node current [4][5][6][7]. We can calculate the total energy consumed at each node with the help of receive, transmit, sleep, and idle mode at each node.…”

Section: Notation and Preliminariesmentioning

confidence: 99%

“…E  E'P i .t (4) In order to take into account these dependencies during WSN simulations we suggest the following battery model (see Figure 2). The available battery energy is represented as the relative battery capacity C B with possible value ranging from one (battery fully charged) to zero (battery discharged).…”

Section: Energy Dissipation Model For Analysis Of Energy Efficient Wsnmentioning

confidence: 99%

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Energy Modeling of ML-MAC Wireless Sensor Network Protocol

Khurana

Thalore

Raina

et al. 2014

Proceedings of the 2014 International Conference on Information and Communication Technology for Competitive Strategies

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It is well recognized that a proper energy consumption model is a foundation for developing and evaluating a power management scheme in the wireless sensor networks (WSN). Duty Cycle is a prominent mechanism for achieving energy efficiency in wireless sensor networks (WSNs). For this purpose, current WSN MAC (Medium Access Control) protocols use duty cycle schemes, where they consciously switch a node's radio between active and sleep modes.The contribution of this paper is twofold: First, a theoretical energy model based on simple finite automata is presented. This model can be used for simulation and generation of ML-MAC with duty cycle variation. Second, the proposed theoretical model is backed up by simulation measurements using QualNet 6.1 Thereafter; output of the theoretical model and simulated results are compared and validated. Categories and Subject Descriptors C.2.1 [Sensor Networks]:A network consisting of hundreds or thousands of wireless sensor nodes. Collect information from their surrounding environment and send to remote control centre. Each sensor performs: sensing + processing + communication.

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Section: Energy Dissipation Model For Analysis Of Energy Efficient Wsnmentioning

confidence: 99%

Section: Notation and Preliminariesmentioning

confidence: 99%

Section: Energy Dissipation Model For Analysis Of Energy Efficient Wsnmentioning

confidence: 99%

See 1 more Smart Citation

Energy Modeling of ML-MAC Wireless Sensor Network Protocol

Khurana

Thalore

Raina

et al. 2014

Proceedings of the 2014 International Conference on Information and Communication Technology for Competitive Strategies

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“…For devices that are powered by mains or DC power sources, information about power source characteristics reveals whether the power source is capable of supplying adequate power for an additional load. As has been shown in multiple works (e.g., Jongerden et al, 2010;Lahiri et al, 2002;Mikhaylov and Tervonen, 2010;Mikhaylov et al, 2012a), in order to truly maximise the energy efficiency of a device it is essential to consider as a whole the source of the energy and the system that consumes it.…”

Section: Related Workmentioning

confidence: 99%

“…For the majority of WSN node platforms, because they require a supply voltage in the order of 2-5 V DC, an external AC/DC power adapter is required for converting AC voltage to DC. This causes additional loss of energy and makes the use of low-power modes for such nodes ineffective (Mikhaylov et al, 2012a). Another option that is often used for supplying power to WSN APs is the available supply line of USB or other data exchange interfaces.…”

Section: Existing Power Supply Options For Wsn Nodesmentioning

confidence: 99%

Energy-efficient routing in wireless sensor networks using power-source type identification

Mikhaylov

Tervonen

2012

IJSSC

Self Cite

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The real-life wireless sensor networks (WSNs) nowadays often include nodes that are powered by various power sources: mains; primary or secondary batteries; or energy harvesting systems, which generate power from the environment. Although information about the parameters of the available power sources for the WSN node is crucial for optimising the operation of the whole network, the contemporary WSN nodes can only estimate the level of their supply voltage at the current time. Therefore, in this paper we are suggesting a simple mechanism that identifies the type of WSN node's power source based on the measurements of the supply voltage. Based on the suggested power-source type identification (PSTID) mechanism, we introduce and propose the special routing protocol that is intended for WSNs containing nodes that have different power supply sources. The suggested routing protocol allows a significant increase in the lifetime of the whole network compared to the scenarios when no PSTID data is available. The proposed routing protocol is more universal then the existing routing protocols that take into account only the value of the supply voltage.Reference to this paper should be made as follows: Mikhaylov, K. and Tervonen, J. (2012) 'Energy-efficient routing in wireless sensor networks using power-source type identification', Int. J. Vol. 2, No. 4,. Biographical notes: Konstantin Mikhaylov received his BSc (2006) and MSc (2008) in Electrical Engineering, with the focus on wireless systems, from St. Petersburg State Polytechnical University, St. Petersburg, Russian Federation. Since 2008, he has been working as a Researcher for Wireless and Embedded Systems in the RFMedia Laboratory of Oulu Southern Institute, University of Oulu, Ylivieska, Finland. His main research interests include embedded systems, non-specific short range wireless communication technologies and wireless sensor networks, especially the problems of energy efficiency, available resources estimation and hardware-resources aware operation adaptation for those systems. Jouni Tervonen received his Dipl.Eng. (MSc) and DSc (Tech.) in Electrical Engineering from the

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