An efficient trajectory design for mobile sink in a wireless sensor network |
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| Affiliation: | 1. Department of Computer Science and Engineering, Hanyang University, South Korea;2. Department of Computer Science, University College Cork, Ireland;3. Department of Electrical Engineering, COMSATS Institute of Information Technology, Wah Cantt, Pakistan;1. School of Electrical and Computer Engineering, Ajou University, Suwon, Republic of Korea;2. Department of Computer Science and Engineering, Hanyang University, Ansan, Republic of Korea;1. InterNetWorks Research Laboratory, School of Computing, Universiti Utara Malaysia, 06010 UUM Sintok, Malaysia;2. Department of Mathematics/Computer Science, Ibrahim Badamasi Babangida University, Lapai, Niger State, Nigeria;1. Department of Materials Science, Campus D3 3, Saarland University, D-66123 Saarbrücken, Germany;2. Nanostructured Materials, Department of Physics, Chemistry and Biology, Linköping University, SE-581 83 Linköping, Sweden;3. Innovative Electron Microscopy, INM-Leibniz Institute for New Materials, Campus D2 2, Saarland University, D-66123 Saarbrücken, Germany;1. State Key Laboratory of Information Photonics & Optical Communications, Beijing University of Posts & Telecom, Beijing 100876, China;2. ZTE Corporation, China |
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| Abstract: | Mobile sink trajectory plays a pivotal role for network coverage, data collection and data dissemination in wireless sensor networks. Considering this, we propose a novel approach for mobile sink trajectory in wireless sensor networks. Our proposed approach is based on Hilbert Space Filling Curve, however, the proposed approach is different from the previous work in a sense that the curve order changes according to node density. In this paper, we investigate the mobile sink trajectory based on Hilbert Curve Order which depends upon the size of the network. Second, we calculate the Hilbert Curve Order based on node density to re-dimension the mobile sink trajectory. Finally, we perform extensive simulations to evaluate the effectiveness of proposed approach in terms of network coverage and scalability. Simulation results confirm that our proposed approach outperforms with size based Hilbert Curve in terms of network coverage, packet delivery ratio and average energy consumption. |
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| Keywords: | Data dissemination Hilbert Space Filling Curve Mobile sink trajectory Network coverage Node density Wireless sensor network |
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