Towards a transmission power self-optimization in reliable Wireless Sensor Networks

Lavratti, F.; Pinto, Alex Sandro Roschildt; Prestes, D.; Bolzani, L.; Vargas, F.; Montez, Carlos

doi:10.1109/latw.2010.5550356

Cited by 7 publications

(3 citation statements)

References 6 publications

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“…However, the PRR value can only be obtained statistically over a long period of time. RSSI loss can be used effectively as binary link quality metrics for transmission Plevel control [9].…”

Section: Related Work and Motivationmentioning

confidence: 99%

On Adaptive Energy-Efficient Transmission in WSNs

Tahir

Javaid

Iqbal

et al. 2013

International Journal of Distributed Sensor Networks

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One of the major challenges in design of wireless sensor networks (WSNs) is to reduce energy consumption of sensor nodes to prolong lifetime of finite capacity batteries. In this paper, we propose energy-efficient adaptive scheme for transmission (EAST) in WSNs. EAST is an IEEE 802.15.4 standard compliant. In this scheme, open-looping feedback process is used for temperature-aware link quality estimation and compensation, wherea closed-loop feedback process helps to divide network into three logical regions to minimize overhead of control packets. Threshold on transmitter power loss (RSSI loss ) and current number of nodes ( ( )) in each region help to adapt transmit power level ( level ) according to link quality changes due to temperature variation. Evaluation of the proposed scheme is done by considering mobile sensor nodes and reference node both static and mobile. Simulation results show that the proposed scheme effectively adapts transmission level to changing link quality with less control packets overhead and energy consumption as compared to classical approach with single region in which maximum transmitter level assigned to compensate temperature variation.

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“…However, the PRR value can only be obtained statistically over a long period of time. RSSI loss can be used effectively as binary link quality metrics for transmission Plevel control [9].…”

Section: Related Work and Motivationmentioning

confidence: 99%

On Adaptive Energy-Efficient Transmission in WSNs

Tahir

Javaid

Iqbal

et al. 2013

International Journal of Distributed Sensor Networks

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“…The TPSO technique is based on a simple and decentralized algorithm that runs on the application layer of the WSN [7,8]. The main idea behind the TPSO technique is to adjust the transmission power taking into consideration the entire WSNs Ef.…”

Section: The Transmission Power Self-optimization Techniquementioning

confidence: 99%

“…In this paper, we present a transmission power selfoptimization (TPSO) technique able to adjust individually the transmission power of each sensor node that composes the WSN, in order to guarantee a predefined efficiency (Ef ) for the network [7,8]. The TPSO technique aims at guaranteeing the lowest possible transmission power while maintaining the connectivity of the WSN as well as the reliability of the transmitted data.…”

Section: Introductionmentioning

confidence: 99%

A Transmission Power Self-Optimization Technique for Wireless Sensor Networks

Lavratti

Ceratti

Prestes

et al. 2012

ISRN Communications and Networking

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Wireless sensor networks (WSNs) are generally used to monitor hazardous events in inaccessible areas. Thus, on one hand, it is preferable to assure the adoption of the minimum transmission power in order to extend as much as possible the WSNs lifetime. On the other hand, it is crucial to guarantee that the transmitted data is correctly received by the other nodes. Thus, trading off power optimization and reliability insurance has become one of the most important concerns when dealing with modern systems based on WSN. In this context, we present a transmission power self-optimization (TPSO) technique for WSNs. The TPSO technique consists of an algorithm able to guarantee the connectivity as well as an equally high quality of service (QoS), concentrating on the WSNs efficiency (Ef), while optimizing the transmission power necessary for data communication. Thus, the main idea behind the proposed approach is to trade off WSNs Ef against energy consumption in an environment with inherent noise. Experimental results with different types of noise and electromagnetic interference (EMI) have been explored in order to demonstrate the effectiveness of the TPSO technique.

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Decentralized Power Aware Approach for Data Fusion in IEEE 802.15.4 Wireless Sensor Networks

Pinto

Montez

2012

2012 Second Brazilian Conference on Critical Embedded Systems

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Towards a transmission power self-optimization in reliable Wireless Sensor Networks

Cited by 7 publications

References 6 publications

On Adaptive Energy-Efficient Transmission in WSNs

On Adaptive Energy-Efficient Transmission in WSNs

A Transmission Power Self-Optimization Technique for Wireless Sensor Networks

Decentralized Power Aware Approach for Data Fusion in IEEE 802.15.4 Wireless Sensor Networks

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