Journal
MATHEMATICS
Volume 7, Issue 2, Pages -Publisher
MDPI
DOI: 10.3390/math7020184
Keywords
wireless sensor networks (WSNs); DV-Hop algorithm; multi-objective DV-Hop localization algorithm; NSGA-II-DV-Hop
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Funding
- National Natural Science Foundation of China [61806138, 61663028, 61403271]
- Natural Science Foundation of Shanxi Province [201801D121127]
- Scientific and Technological innovation Team of Shanxi Province [201805D131007]
- PhD Research Startup Foundation of Taiyuan University of Science and Technology [20182002]
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Locating node technology, as the most fundamental component of wireless sensor networks (WSNs) and internet of things (IoT), is a pivotal problem. Distance vector-hop technique (DV-Hop) is frequently used for location node estimation in WSN, but it has a poor estimation precision. In this paper, a multi-objective DV-Hop localization algorithm based on NSGA-II is designed, called NSGA-II-DV-Hop. In NSGA-II-DV-Hop, a new multi-objective model is constructed, and an enhanced constraint strategy is adopted based on all beacon nodes to enhance the DV-Hop positioning estimation precision, and test four new complex network topologies. Simulation results demonstrate that the precision performance of NSGA-II-DV-Hop significantly outperforms than other algorithms, such as CS-DV-Hop, OCS-LC-DV-Hop, and MODE-DV-Hop algorithms.
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