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An improved distance vector hop algorithm and A* algorithm with modified supernova optimizer for 3-dimensional localization in wireless sensor networks

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WIRELESS NETWORKS 2025年第3期31卷 2827-2846页

作者： Muthusamy, Sudha Ruby, Erode Dhanapal Kanmani Arunachalam, Rajesh Chinnappa, Kalamani SNS Coll Engn Dept Elect & Commun Engn Coimbatore 641107 Tamilnadu India Vel Tech Rangarajan Dr Sagunthala R&D Inst Sci & T Dept Elect & Commun Engn Chennai 600062 Tamil Nadu India Saveetha Inst Med & Tech Sci Saveetha Sch Engn Dept Elect & Commun Engn Chennai 602105 Tamilnadu India Hindusthan Inst Technol Dept Elect & Commun Engn Coimbatore Tamilnadu India

Localization is crucial for accurate data interpretation in a wireless sensor network (WSN). The goal of localization is to locate the nodes with their respective coordinates acquired from anchor nodes. It helps to transfer the information via several nodes in WSN. In WSN, accurate node localization provides diverse benefits and enables large applications. Tracking the accurate position or location of the sensor nodes maximizes the system performance in WSN. However, attaining better localization in WSN is critical, because of the dynamic behavior of wireless communication in networks. Several localization algorithms and deep learning (DL) techniques have been developed to enhance the localization accuracy in WSN. These localization algorithms face challenges in several networks, particularly indoor communication;they consume more power. Evaluating the optimal value of anchor nodes, identifying scalability, and maximizing node localization in WSN are complex tasks. distance vector hop (DV-hop) is referred to as the non-ranging-aided 3D positioning approach with more errors and less positioning accuracy. Focusing on these difficulties, a framework for the 3D localization of DV-hop (3D-DV-hop) in the WSN is recommended in this work. Hence in this paper, the DV-hop algorithm and A* algorithm are introduced to resolve the above-mentioned issues. With the implementation of WSN, the experiments of 3-dimensional (3D) node localization provide significant outcomes. The ideology of the A* algorithm and DV-hop algorithm are integrated to enhance the node localization in WSN. The developed model consumes low power, low data-rate communication solutions, and minimal cost. The multi-objective optimization is carried out by Modified Random Value in Supernova Optimizer (MRV-SO) to locally optimize the node coordinates. This optimization process reduces the average localization error to improve its effectiveness. The comparative analysis of the developed MRV-SO model shows 89.971,

关键词： Wireless sensor networks 3D localization distance vector hop algorithm A* algorithm Modified random value in supernova optimizer

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distance vector hop Based Range Free Localization in WSN using Genetic algorithm 6

Distance Vector Hop Based Range Free Localization in WSN usi...

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6th International Conference on Computing for Sustainable Global Development (INDIACom)

作者： Kanwar, Vivek Kumar, Ashok Natl Inst Technol Dept Elect & Commun Engn Hamirpur India

ISBN: (纸本)9789380544342

Wireless sensor networks are the combination of enormous number of tiny devices of low price and small size. These Tiny devices are used to recognize the event, gather the data and forward the sensed data to the base station. To analyze the event occurrence, event location information is required for the accuracy. So, to find the exact location of the event occurrence, we need localization technique. There is following types of localization techniques such as range based and range free. The range-based technique has more accuracy but require more hardware and highly costly to be execute in the real life. The range free technique requires less hardware to be implemented. Among various range free techniques, distance vector hop localization technique is considered as it can correct the sensor nodes position without need of any additional hardware with a smaller number of errors. In this research, we proposed a genetic based DV-hop localization for more accuracy.

关键词： WSNs Beacons Range- Free distance vector hop algorithm Genetic method

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Localization algorithm for Wireless Sensor Networks Basest on Modified distance Estimation

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JOURNAL OF INFORMATION PROCESSING SYSTEMS 2020年第5期16卷 1158-1168页

作者： Zhao, Liquan Zhang, Kexin Northeast Elect Power Univ Minist Educ Key Lab Modern Power Syst Simulat & Control & Ren Jilin Jilin Peoples R China

The distance vector-hop wireless sensor node location method is one of typical range-free location methods. In distance vector-hop location method, if a wireless node A can directly communicate with wireless sensor network nodes B and C at its communication range, the hop count from wireless sensor nodes A to B is considered to be the same as that form wireless sensor nodes A to C. However, the real distance between wireless sensor nodes A and B may be dissimilar to that between wireless sensor nodes A and C. Therefore, there may be a discrepancy between the real distance and the estimated hop count distance, and this will affect wireless sensor node location error of distance vector-hop method. To overcome this problem, it proposes a wireless sensor network node location method by modifying the method of distance estimation in the distance vector-hop method. Firstly, we set three different communication powers for each node. Different hop counts correspond to different communication powers;and so this makes the corresponding relationship between the real distance and hop count more accurate, and also reduces the distance error between the real and estimated distance in wireless sensor network. Secondly, distance difference between the estimated distance between wireless sensor network anchor nodes and their corresponding real distance is computed. The average value of distance errors that is computed in the second step is used to modify the estimated distance from the wireless sensor network anchor node to the unknown sensor node. The improved node location method has smaller node location error than the distance vector-hop algorithm and other improved location methods, which is proved by simulations.

关键词： Communication Power distance vector hop algorithm Location Accuracy Wireless Sensor Networks

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