Statistical Model RMS Delay Spread in UWB Ground Reflection Channel Based on Peak Power Loss

Tanchotikul, S.; Supanakoon, Pichaya; Promwong, Sathaporn; Takada, Jun‐ichi

doi:10.1109/iscit.2006.339821

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…It is shown that for short-range transmissions including the wireless sensor networking, the root-mean-square (rms) delay spread is in the range of ns [5] (and ps for UWB applications [6]) which is small compared to the symbol duration Ts=16 ms obtained from the bandwidth B = 1/Ts = 62. 5 To compute the received SNR of each symbol, based on the definition of SNR we have to know the amplitude of the fading channel coefficients and the pathloss.…”

Section: System Modelmentioning

confidence: 99%

Energy optimization in multi-hop wireless sensor networks

Zardosht

Almodarresi

2012

6th International Symposium on Telecommunications (IST)

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Energy consumption in wireless sensor networks is a very important issue due to battery operated nodes. In this paper energy consumption in the physical layer by considering two modulation schemes in multi-hop communication is discussed. It was assumed that all nodes are spaced in a direct way and distance between them is equal. In this way, by introducing the energy model for two modulation schemes named Offset Quadrature Phase Shift Keying (OQPSK) and M-array Frequency Shift Keying (MFSK) which are the most applicable schemes in WSN based on IEEE 802.15.4, the optimum distance between nodes for both is determined based on error probability, channel bandwidth, path loss factor and etc. It was shown that in modulating signal by 2FSK in some distances energy consumption in single hop is less than multi-hop, while in OQPSK modulation multi-hop is always better than single hop .

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Section: System Modelmentioning

confidence: 99%

Energy optimization in multi-hop wireless sensor networks

Zardosht

Almodarresi

2012

6th International Symposium on Telecommunications (IST)

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“…Channel Model: It is shown that for short-range transmissions including the wireless sensor networking, the root mean square (rms) delay spread is in the range of ns [8] (and ps for UWB applications [9]) which is small compared to the symbol duration T s = 16 µs obtained from the bandwidth B = 1 Ts = 62.5 KHz in the IEEE 802.15.4 standard [6, p. 49]. Thus, it is reasonable to expect a flat-fading channel model for WSNs.…”

Section: System Model and Assumptionsmentioning

confidence: 99%

Green modulations in energy-constrained wireless sensor networks

2011

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Due to the unique characteristics of sensor devices, finding the energy-efficient modulation with a lowcomplexity implementation (refereed to as green modulation) poses significant challenges in the physical layer design of Wireless Sensor Networks (WSNs). Toward this goal, we present an in-depth analysis on the energy efficiency of various modulation schemes using realistic models in the IEEE 802.15.4 standard to find the optimum distance-based scheme in a WSN over Rayleigh and Rician 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 includes the effect of the channel bandwidth and the active mode duration on the energy consumption of popular modulation designs. Path-loss exponent and DC-DC converter efficiency are also taken into consideration.In considering the energy efficiency and complexity, it is demonstrated that among various sinusoidal carrier-based modulations, the optimized Non-Coherent M-ary Frequency Shift Keying (NC-MFSK) is the most energy-efficient scheme in sparse WSNs for each value of the path-loss exponent, where the optimization is performed over the modulation parameters. In addition, we show that the On-Off Keying (OOK) displays a significant energy saving as compared to the optimized NC-MFSK in dense WSNs with small values of path-loss exponent.

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“…It is shown by Friis [19] that a low transmission power implies a small range. On the other hand, for short-range transmission scenarios, the root mean square (rms) delay spread is in the range of nanoseconds [11] (and picoseconds for UWB applications [20]) which is small compared to symbol durations for modulation schemes. For instance, the channel bandwidth and the correspond symbol duration considered in IEEE 802.15.4 standard are B = 62.5 KHz and T s = 16 µs, respectively [16, p. 49], while the rms delay spread in indoor environments are in the range of 70-150 ns [21].…”

Section: Channel Modelmentioning

confidence: 99%

Green modulation in dense Wireless Sensor Networks

Abouei

Plataniotis

Pasupathy

2010

2010 IEEE International Conference on Acoustics, Speech and Signal Processing

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Emails: {abouei, kostas and pas}@comm.utoronto.ca. AbstractDue to unique characteristics of sensor nodes, choosing energy-efficient modulation scheme with low-complexity implementation (refereed to as green modulation) is a critical factor in the physical layer of Wireless Sensor Networks (WSNs). This paper presents (to the best of our knowledge) the first in-depth analysis of energy efficiency of various modulation schemes using realistic models in IEEE 802.15.4 standard and present state-of-the art technology, to find the best scheme in a proactive WSN over Rayleigh and Rician flat-fading channel models with path-loss. For this purpose, we describe the system model according to a pre-determined time-based process in practical sensor nodes. The present analysis also includes the effect of bandwidth and active mode duration on energy efficiency of popular modulation designs in the pass-band and Ultra-WideBand (UWB) categories. Experimental results show that among various pass-band and UWB modulation schemes, Non-Coherent M-ary Frequency Shift Keying (NC-MFSK) with small order of M and On-Off Keying (OOK) have significant energy saving compared to other schemes for short range scenarios, and could be considered as realistic candidates in WSNs. In addition, NC-MFSK and OOK have the advantage of less complexity and cost in implementation than the other schemes.

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Statistical Model RMS Delay Spread in UWB Ground Reflection Channel Based on Peak Power Loss

Cited by 4 publications

References 10 publications

Energy optimization in multi-hop wireless sensor networks

Energy optimization in multi-hop wireless sensor networks

Green modulations in energy-constrained wireless sensor networks

Green modulation in dense Wireless Sensor Networks

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