Accurate Range-Free Localization Using Cuckoo Search Optimization in IoT and Wireless Sensor Networks

被引:0
|
作者
Hadir, Abdelali [1 ]
Kaabouch, Naima [2 ]
机构
[1] Hassan II Univ, Natl Sch Commerce & Management, Casablanca 20250, Morocco
[2] Univ North Dakota, Sch Elect Engn & Comp Sci, Grand Forks, ND 58202 USA
关键词
IoT; WSN; localization; DV-Hop; cuckoo search; accuracy; ALGORITHM;
D O I
10.3390/computers13120319
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Precise positioning of sensors is critical for the performance of various applications in the Internet of Things and wireless sensor networks. The efficiency of these networks heavily depends on the precision of sensor node locations. Among various localization approaches, DV-Hop is highly recommended for its simplicity and robustness. However, despite its popularity, DV-Hop suffers from significant accuracy issues, primarily due to its reliance on average hop size for distance estimation. This limitation often results in substantial localization errors, compromising the overall network effectiveness. To address this gap, we developed an enhanced DV-Hop approach that integrates the cuckoo search algorithm (CS). Our solution improves the accuracy of node localization by introducing a normalized average hop size calculation and leveraging the optimization capabilities of CS. This hybrid approach refines the distance estimation process, significantly reducing the errors inherent in traditional DV-Hop. Findings from simulations reveal that the developed approach surpasses the accuracy of both the original DV-Hop and multiple other current localization methods, providing a more precise and reliable localization method for IoT and WSN applications.
引用
收藏
页数:21
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