Regression analysis for energy and lifetime prediction in large wireless sensor networks

Conference paper

Mir, F, Bounceur, A and Meziane, F. 2014. Regression analysis for energy and lifetime prediction in large wireless sensor networks. 2014 International Conference on Advanced Networking Distributed Systems and Applications. Bejaia, Algeria 17 - 19 Jun 2014 IEEE. https://doi.org/10.1109/inds.2014.8
AuthorsMir, F, Bounceur, A and Meziane, F.
TypeConference paper
Abstract

Wireless communication technologies are used to
collect information from sensitive, hostile and inaccessible environments.
They are used in both military and civil applications
that include environmental, medical, military and industrial
fields. Routing data to a processing center or a base station
requires mechanisms for energy conservation at the end of
the prolonged lifetime of the network. The simulation in this case is very constrained by the high density of the network. Existing tools cannot simulate large networks with millions of sensors. In this paper, we propose a new method using statistical regression analysis in order to predict the energy consumption and the lifetime of a wireless sensor network with hundreds or thousands of sensors by simulating smaller networks. We have validated the proposed method using a Revised LEACH protocol. Indeed, this method can be used for other protocols and other kind of simulations with the purpose of evaluating a specific parameter.

Keywordsenergy prediction; LEACH; life time prediction; performance evaluation; regression; Revised LEACH; simulation; Wireless sensor networks
Year2014
Conference2014 International Conference on Advanced Networking Distributed Systems and Applications
Journal2014 International Conference on Advanced Networking Distributed Systems and Applications
PublisherIEEE
Digital Object Identifier (DOI)https://doi.org/10.1109/inds.2014.8
Web address (URL)http://dx.doi.org/10.1109/INDS.2014.8
Journal citation(Article: 6969048), pp. 1 - 6
ISBN978-1-4799-5178-9
Web address (URL) of conference proceedingshttps://ieeexplore.ieee.org/xpl/conhome/6968675/proceeding
Output statusPublished
Publication dates01 Dec 2014
Publication process dates
Deposited07 Jun 2023
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Alshehri, H. and Meziane, F. 2014. The Effect of recommendations from family members and friends and third party endorsement in B2C E-Commerce: The case of Saudi Arabia. 24th International Business Information Management Association Conference - Crafting Global Competitive Economies: 2020 Vision Strategic Planning and Smart Implementation. Milan, Italy 06 - 07 Nov 2014 IBIMA.