A transmission power self-optimization technique for wireless sensor networks

Authors:
F. Lavratti;A. Ceratti;D. Prestes;A. R. Pinto;L. Bolzani;F. Vargas;C. Montez;F. Hernandez;E. Gatti;C. Silva
Affiliations:
Signals & Systems for Computing Group, Catholic University of Rio Grande do Sul, Porto Alegre, RS, Brazil;Signals & Systems for Computing Group, Catholic University of Rio Grande do Sul, Porto Alegre, RS, Brazil;Signals & Systems for Computing Group, Catholic University of Rio Grande do Sul, Porto Alegre, RS, Brazil;DCCE, Universidade Estadual Paulista, São José do Rio Preto, SP, Brazil;Signals & Systems for Computing Group, Catholic University of Rio Grande do Sul, Porto Alegre, RS, Brazil;Signals & Systems for Computing Group, Catholic University of Rio Grande do Sul, Porto Alegre, RS, Brazil;PGEAS, Universidade Federal de Santa Catarina, Florianópolis, SC, Brazil;Unidad Reguladora de Servicios de Comunicaciones, Montevideo, Uruguay;Instituto Nacional de Tecnologia Industrial, Buenos Aires, Argentina;Pontificia Universidad Católica del Perú, Lima, Peru
Venue:
ISRN Communications and Networking
Year:
2012

Citing 5
Cited 0

The Vision of Autonomic Computing

Computer
Optimal Transmit Power in Wireless Sensor Networks

IEEE Transactions on Mobile Computing
Fault-Tolerant Topology Control for All-to-One and One-to-All Communication in Wireles Networks

IEEE Transactions on Mobile Computing
Evaluating a Transmission Power Self-Optimization Technique for WSN in EMI Environments

DSD '10 Proceedings of the 2010 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools
A survey on sensor networks

IEEE Communications Magazine

Quantified Score

Hi-index	0.00

Visualization

Abstract

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, themain idea behind the proposed approach is to trade offWSNs 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.