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              <text>An augmented artificial bee colony algorithm for data aggregation in wireless sensor networks</text>
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              <text>Bio-inspired optimization; Data collection; Energy efficiency; Mobility; Wireless sensor networks</text>
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              <text>As wireless sensor networks comprise of a vast number of resource constrained tiny sensor nodes which are designed to operate for a long period of time, it is inevitable to efficiently utilize the available resources. Even though energy harvesting approaches exist, energy efficiency in these networks remains the primary concern. Innovative data collection methods help in the optimal utilization of the confined resources like energy, memory and processing capabilities. Majority of the energy is consumed for data transmission in contrast to sensing and processing. Adopting self-organizing system intelligence of the nature for modern advancements is effective and efficient. This paper provides a gist of the existing bio-inspired routing algorithms and describes a new energy efficient data collection strategy with mobile sinks in wireless sensor networks.  IAEME Publication.</text>
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              <text>Sinha S.; Jose D.V.</text>
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              <text>International Journal of Civil Engineering and Technology, Vol-8, No. 12, pp. 651-661.</text>
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              <text>ISSN: 9766308</text>
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              <text>Sinha S., Department of Computer Science, Christ University, Bengaluru, Karnataka, India; Jose D.V., Department of Computer Science, Christ University, Bengaluru, Karnataka, India</text>
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