Battery Power Efficiency of PPM and FSK in Wireless Sensor Networks

Tang, Qiuling; Yang, Liuqing; Giannakis, Georgios B.; Qin, Tuanfa

doi:10.1109/twc.2007.348327

Cited by 71 publications

(83 citation statements)

References 14 publications

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“…Pulse-based battery energy consumption model As mentioned in [3], the nonlinear behavior of the battery discharge process consists of transmitting signal energy and circuit power consumption. According to [6], we can get the total battery energy consumption for transmitting one pulse under the base-band binary phase-shift keying (BPSK) condition shown as follows:…”

Section: A Channel Modelmentioning

confidence: 99%

“…In recent years, as the Green Computing concept penetrates into wireless communication systems, researchers concentrate more on the characters of battery energy consumption for WSNs nodes. However, in order to gain power efficiency in WSNs systems, most previous works in the literature treat battery energy consumption as ideal and linear without considering circuit power consumption and battery nonlinearity [2,3,4,5]. Such treatment is too simple to understand the exact reason of battery energy consumption.…”

Section: Introductionmentioning

confidence: 99%

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Packet-based nonlinear battery energy consumption optimizing for WSNs nodes

Hou

Zheng

2014

IEICE Electron. Express

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Battery energy nonlinear consumption is a key issue for wireless sensor networks (WSNs) nodes which operate on nonrenewable batteries. The topic has been widely studied by researchers in current years. However, to the best of our knowledge, there is no literature that provides the exact reason for the energy consumption nonlinear character of a battery, and calculates the exact nth value of a battery energy under nonlinear consumption condition. In this paper, we develop a realistic battery energy consumption model, combining with transmitting signal energy and circuit power consumption in WSNs. Based on the developed model, we study the battery energy consumption based on packets instead of the pulses under two packet assembly approaches that are length-based and time-based assembly approaches. An extensive simulation is given to validate the proposed model and evaluate the performance of the nonlinear battery energy consumption.

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Section: A Channel Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Packet-based nonlinear battery energy consumption optimizing for WSNs nodes

Hou

Zheng

2014

IEICE Electron. Express

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“…IEICE Electronics Express, Vol.10, No.22, [1][2][3][4][5][6][7][8] curved surface and the Z-axis indicate that the total battery energy consumptions of the single-hop direct path and the two-hop relay path are equivalent. The study in this paper is mainly based on the two path scenarios of the single-hop direct path and the two-hop relay path.…”

Section: The Path Selectionmentioning

confidence: 99%

“…In recent years, many researches on the techniques of battery-energy efficiency optimization have been conducted [2,3]. However, these researches have adopted ideal battery models without considering battery nonlinearity and circuit power consumption.…”

Section: Introductionmentioning

confidence: 99%

Path selection for optimizing nonlinear battery energy consumption

Hou

Chen

Xing

2013

IEICE Electron. Express

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This paper develops a realistic battery model that is combined with transmitting signal energy and circuit power consumption, and applies it to wireless sensor networks (WSNs). Then, we calculate the critical values of distances of the source-destination node pairs without considering the relay path. Meanwhile, we intuitively present the relay area and the difference of energy consumption between the single-hop direct path and the multi-hop relay path. Several results give the criterion for the selection of singlehop direct path or the multi-hop relay path to save energy.

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“…There have been several recent works on the energy efficiency of various modulation/ coding schemes in WSNs (see e.g., [2], [5], [6]). Tang et al [5] compare the power efficiency of PPM and FSK in a WSN over fading channels with path-loss without considering the effect of channel coding.…”

Section: Introductionmentioning

confidence: 99%

On the Energy Efficiency of LT Codes in Proactive Wireless Sensor Networks

Abouei

Brown

Plataniotis

et al. 2011

IEEE Trans. Signal Process.

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Abstract-This paper presents an in-depth analysis on the energy efficiency of Luby Transform (LT) codes with Frequency Shift Keying (FSK) modulation in a Wireless Sensor Network (WSN) over Rayleigh fading channels with path-loss. We describe a proactive system model according to a flexible duty-cycling mechanism utilized in practical sensor apparatus. The present analysis is based on realistic parameters including the effect of channel bandwidth used in the IEEE 802.15.4 standard, active mode duration and computation energy. A comprehensive analysis, supported by some simulation studies on the probability mass function of the LT code rate and coding gain, shows that among uncoded FSK and various classical channel coding schemes, the optimized LT coded FSK is the most energyefficient scheme for distance d greater than the pre-determined threshold level dT , where the optimization is performed over coding and modulation parameters. In addition, although the optimized uncoded FSK outperforms coded schemes for d < dT , the energy gap between LT coded and uncoded FSK is negligible for d < dT compared to the other coded schemes. These results come from the flexibility of the LT code to adjust its rate to suit instantaneous channel conditions, and suggest that LT codes are beneficial in practical low-power WSNs with dynamic position sensor nodes.

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Battery Power Efficiency of PPM and FSK in Wireless Sensor Networks

Cited by 71 publications

References 14 publications

Packet-based nonlinear battery energy consumption optimizing for WSNs nodes

Packet-based nonlinear battery energy consumption optimizing for WSNs nodes

Path selection for optimizing nonlinear battery energy consumption

On the Energy Efficiency of LT Codes in Proactive Wireless Sensor Networks

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