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Management Scheme for Data Collection within Wireless Sensor Networks

Management Scheme for Data Collection within Wireless Sensor Networks

Sami J. Habib, Paulvanna N. Marimuthu
Copyright: © 2012 |Volume: 3 |Issue: 2 |Pages: 18
ISSN: 1947-9220|EISSN: 1947-9239|EISBN13: 9781466610507|DOI: 10.4018/jaras.2012040104
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MLA

Habib, Sami J., and Paulvanna N. Marimuthu. "Management Scheme for Data Collection within Wireless Sensor Networks." IJARAS vol.3, no.2 2012: pp.59-76. http://doi.org/10.4018/jaras.2012040104

APA

Habib, S. J. & Marimuthu, P. N. (2012). Management Scheme for Data Collection within Wireless Sensor Networks. International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS), 3(2), 59-76. http://doi.org/10.4018/jaras.2012040104

Chicago

Habib, Sami J., and Paulvanna N. Marimuthu. "Management Scheme for Data Collection within Wireless Sensor Networks," International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS) 3, no.2: 59-76. http://doi.org/10.4018/jaras.2012040104

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Abstract

This paper proposes a data management scheme which employs an energy constrained algorithm selecting between direct and multi-hop transmissions autonomously based on the residual energy level of the individual sensors. The proposed data management scheme rules out the selection of hotspot sensors, the sensors located closer to the base stations, as the intermediate sensors to avoid the dying of these sensors. In each data transmission, the scheme selects one of the neighborhood sensors having minimal Euclidean distance and maximum energy-level as the intermediate node from the neighboring set, without repeating the selection. The proposed data management scheme manages the data collection by utilizing two scheduling algorithms; as soon as possible (ASAP) and as late as possible (ALAP). As a measure of performance, the simulation results of the data management scheme have been compared with that of minimum connected dominating set algorithm (MCDS). The simulation results demonstrate that the data management scheme outperforms with respect to consume less energy; moreover, it can be observed that the scheme finishes an overall short waiting time of the selected sensors compared to the direct transmission in transmitting the data to the base station. The robustness of the proposed scheme is tested by varying the network sizes and varying the sensing radii.

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