A Comparison of Modulations for Energy Optimization in Wireless Sensor Network Links

Costa, Felipe M.; Ochiai, Hideki

doi:10.1109/glocom.2010.5683412

Cited by 35 publications

(26 citation statements)

References 8 publications

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“…In case of frequency modulation schemes (MFSK and MSK), power consumption of both the DAC and the mixer will not be included in the calculation of the total power consumption [7].…”

Section: Transceiver Modelmentioning

confidence: 99%

“…This study investigated the best modulation approach to reduce the power consumption of uncoded system. In addition, Felipe and Hideki in [7] compared three different un-coded modulation systems i.e. MQAM, MPSK, and MFSK.…”

Section: Introductionmentioning

confidence: 99%

“…The setting parameters considered in simulation are summarized inTable 1[7,18,19].FromFig. 2,we can see the variation of optimum transmit-on-time for different values of transmission distance.…”

mentioning

confidence: 99%

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Minimization of Wireless Sensor Network Energy Consumption Through Optimal Modulation Scheme and Channel Coding Strategy

Anane

Raoof

Bouallègue

2015

J Sign Process Syst

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Wireless sensor networks (WSNs) are composed of sensor nodes generally powered by batteries, for which recharging or replacement is difficult. Since battery technology has not progressed as rapidly as semiconductor technology, energy efficiency has become increasingly important in WSN. On the other hand, data exchanged between nodes are vulnerable to corruption by errors induced by random noise, signal fading and other factors. Therefore, improving link reliability and reducing energy consumption are prime concerns in the design of wireless sensor networks. In this context, performing optimal modulation schemes with suitable channel coding process is a crucial task at the physical layer of this class of networks. This paper investigates the best modulation strategy to minimize the total energy consumption required to send a given number of bits. Energy consumption with both uncoded and coded modulation techniques including M-ary QAM (MQAM), M-ary PSK (MPSK), M-ary FSK (MFSK) and MSK is analytically analyzed and simulated over transmission time, modulation Rajoua Anane rate and transmission distance. A comparative analysis in terms of energy consumption and probability of Bit Error Rate (BER) referring to MSK modulation with proper Error Control Codes (ECC) approach is presented in this paper. We show that the gain achieved with coded MSK scheme is very promising for obtaining optimal energy network consumption.

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“…In case of frequency modulation schemes (MFSK and MSK), power consumption of both the DAC and the mixer will not be included in the calculation of the total power consumption [7].…”

Section: Transceiver Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Minimization of Wireless Sensor Network Energy Consumption Through Optimal Modulation Scheme and Channel Coding Strategy

Anane

Raoof

Bouallègue

2015

J Sign Process Syst

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show abstract

“…Cui et al [67] showed that the energy consumption required to meet a given Bit Error Rate (BER) and delay requirement can be minimised by optimising the transmission time. Costa and Ochiai [68] studied the energy efficiency of three modulation schemes and derived from this the modulation type and its optimal parameters that achieve minimum energy consumption for different distances between nodes.…”

Section: Radio Optimisationmentioning

confidence: 99%

Energy efficiency in wireless sensor networks: A top-down survey

Rault¹,

Bouabdallah²,

Challal³

2014

Computer Networks

789

452

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The design of sustainable wireless sensor networks (WSNs) is a very challenging issue. On the one hand, energyconstrained sensors are expected to run autonomously for long periods. However, it may be cost-prohibitive to replace exhausted batteries or even impossible in hostile environments. On the other hand, unlike other networks, WSNs are designed for specific applications which range from small-size healthcare surveillance systems to large-scale environmental monitoring. Thus, any WSN deployment has to satisfy a set of requirements that differs from one application to another. In this context, a host of research work has been conducted in order to propose a wide range of solutions to the energysaving problem. This research covers several areas going from physical layer optimization to network layer solutions. Therefore, it is not easy for the WSN designer to select the efficient solutions that should be considered in the design of application-specific WSN architecture.We present a top-down survey of the trade-offs between application requirements and lifetime extension that arise when designing wireless sensor networks. We first identify the main categories of applications and their specific requirements. Then we present a new classification of energy-conservation schemes found in the recent literature, followed by a systematic discussion as to how these schemes conflict with the specific requirements. Finally, we survey the techniques applied in WSNs to achieve trade-off between multiple requirements, such as multi-objective optimisation.

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“…Researchers have tried to optimize radio parameters such as coding and modulation schemes [14], power transmission and antenna direction . [15] Transmission Power Control (TPC) has been investigated to enhance energy efficiency at the physical layer by adjusting the radio transmission power.…”

Section: Introductionmentioning

confidence: 99%

The Implementation Of High Efficiency Wireless Sensor In Acoustic Object Tracking

Chengfang

Liu

Wei

2015

International Journal on Smart Sensing and Intelligent Systems

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Abstract-Energy control in Wireless SensorNetwork is one of the most crucial technologies. Based on the acoustic object localization background, we designed a new structure of the sensor node to realize the energy efficiency in the power supply and artificial sleeping scheduling in this paper. The power control model is independent with data processing and control model and can separately realize the power supply for different part of the node. The node can transfer status according the different circumstance to minimize the energy consumption. Furthermore, a new synchronous sleeping/wake schedule mechanism in the medium access control layer is proposed. Sensor nodes can use the forwarding and listening status to schedule their better energy status on demanded. The experiment has been evaluated and analyzed in a test-bed. The result confirms the structure and the proposed mechanism are energy efficiency and gain better trade-off between the accuracy and efficiency.Index terms: Wireless sensor network, scalable architecture, energy-equalize, power control.

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A Comparison of Modulations for Energy Optimization in Wireless Sensor Network Links

Cited by 35 publications

References 8 publications

Minimization of Wireless Sensor Network Energy Consumption Through Optimal Modulation Scheme and Channel Coding Strategy

Minimization of Wireless Sensor Network Energy Consumption Through Optimal Modulation Scheme and Channel Coding Strategy

Energy efficiency in wireless sensor networks: A top-down survey

The Implementation Of High Efficiency Wireless Sensor In Acoustic Object Tracking

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