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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2012 Vol.2(4): 377-380 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2012.V2.148

Using Gravitational Search Algorithm for Finding Near-optimal Base Station Location in Two-Tiered WSNs

Marjan Kuchaki Rafsanjani, and Mohammad Bagher Dowlatshahi

Abstract—In designing the Wireless Sensor Networks (WSNs), the main issue is limited resource for each sensor. Hence, offering ways to optimize energy consumption in WSNs which eventually increases the network lifetime is strongly felt. In this paper, a Gravitational Search Algorithm (GSA) is proposed for finding nearly optimal Base Station (BS) location in two-tiered heterogeneous WSNs, where Application Nodes (ANs) may own different data transmission rates, initial energies and parameter values. Experimental results and comparisons with Particle Swarm Optimization (PSO) and Exhaustive Grid Search show the appropriate performance of our proposed approach.

Index Terms—Gravitational search algorithm, two-tiered wireless sensor networks, base station location, energy consumption, network lifetime.

Marjan Kuchaki Rafsanjani (Corresponding author) is with the Department of Computer Science, Shahid Bahonar University of Kerman. Kerman, Iran, Postal code: 76169-14111 (e-mail: kuchaki@uk.ac.ir).
Mohammad Bagher Dowlatshahi is with the Department of Computer Science, Shahid Bahonar University of Kerman. Kerman, Iran (e-mail: mb.dowlatshahi@yahoo.com).

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Cite: Marjan Kuchaki Rafsanjani, and Mohammad Bagher Dowlatshahi, "Using Gravitational Search Algorithm for Finding Near-optimal Base Station Location in Two-Tiered WSNs," International Journal of Machine Learning and Computing vol. 2, no. 4, pp. 377-380, 2012.

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