An Improved DV-HOP Localization Technique via VVS-HCO for Wireless Sensor Networks | ||
| International Journal of Telecommunications | ||
| Volume 05, Issue 02, July 2025, Pages 1-15 PDF (1.65 M) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/ijt.2025.390505.1111 | ||
| Authors | ||
| Mohamed Ali Hamed* 1; Basma E. Abu‑elmaaty2; Sameh A. Napoleon2 | ||
| 1Dept. of Electronics & Communications, Faculty of Engineering, Tanta University | ||
| 2Dept. of Electronics & Communications, Faculty of Engineering, Tanta University | ||
| Abstract | ||
| Wireless Sensor Networks (WSNs) are a core enabler of applications such as environmental monitoring, military surveillance, and smart city infrastructure, where precise node location high quality location estimation is of paramount importance. This paper proposes an improved localization scheme for WSN sensor nodes, where the DV-Hop range free localization scheme estimations are optimized via the variable velocity strategy (VVS) and human conception optimization (HCO) techniques. The proposed technique is evaluated via building a wireless sensor network (WSN) with realistic constraints are included using simulations, so that the nature of the wireless communication channel and its impact on estimation accuracy is exploited. The effect of noise on the wireless channel and on the localization algorithms are included in the simulations. The experimental results show that the proposed DV-HOP-VVS-HCO outperforms the standard DV-Hop technique by about 11% to 13% at moderate SNR values. The proposed algorithm is more adaptable to the sensor to anchors counts and of course the topology changes. The results indicate that the proposed DV-HOP-VVS-HCO model is more robust the the standard DV-Hop and can withstand the increase in the node populations and density. The DV-HOP-VVS-HCO achieves better mean localization error with percentage improvement of about 23% as compared to DV-Hop especially at denser WSNs. | ||
| Keywords | ||
| DV-Hop; VVS-HCO; WSN; Node Localization; Range free Localization | ||
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