An Improved DV-Hop Localization Algorithm

Mohamed, E. A. E. Ahmed; Zakaria, H.; Abdelhalim, M. B.

doi:10.1007/978-3-319-48308-5_32

Cited by 10 publications

(3 citation statements)

References 9 publications

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“…All the major task of localization process in performed at BS to reduce the energy consumption of beacon nodes. Minimum three beacon nodes are selected for each unknown nodes to perform trilateration process [36], and the most trusty location information of beacon nodes are utilized during localization for accurate localization.…”

Section: ) Localization Of Sensor Nodesmentioning

confidence: 99%

A Novel Trust Evaluation Process for Secure Localization Using a Decentralized Blockchain in Wireless Sensor Networks

et al. 2019

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In this research paper, blockchain-based trust management model is proposed to enhance trust relationship among beacon nodes and to eradicate malicious nodes in Wireless Sensor Networks (WSNs). This composite trust evaluation involves behavioral-based trust as well as data-based trust. Various metrics such as closeness, honesty, intimacy and frequency of interaction are taken into account to compute behavioral-based trust of beacon nodes. Further, the composite (behavior and data) trust value of each beacon nodes is broadcast to Base Stations (BS) to generate a blockchain of trust values. Subsequently, the management model discards the beacon node with least trust value and that ensures reliability and consistency of localization in WSNs. The simulated results of the proposed algorithm are compared with the existing ones in terms of detection accuracy, False Positive Rate (FPR) and False Negative Rate (FNR) and Average Energy Consumption (AEC).

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Section: ) Localization Of Sensor Nodesmentioning

confidence: 99%

A Novel Trust Evaluation Process for Secure Localization Using a Decentralized Blockchain in Wireless Sensor Networks

et al. 2019

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“…Similar to the conventional DV-HOP algorithm, the 3D DV-Hop algorithm is also composed of three phases [24][25][26]. Firstly, the typical distance vector exchange protocol is used to obtain all the nodes in the network to get the number of hops from the beacon nodes.…”

Section: D Dv-hop Localization Algorithm Based On Multicollinearitymentioning

confidence: 99%

An Enhanced Hybrid 3D Localization Algorithm Based on APIT and DV-Hop

Yi¹,

Chen²

2017

Int. J. Onl. Eng.

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Abstract-Wireless sensor networks (WSN), as a new method of information collection and processing, has a wide range of applications. Since the acquired data must be bound with the location information of sensor nodes, the sensor localization is one of the supporting technologies of wireless sensor networks. However, the common localization algorithms, such as APIT algorithm and DV-Hop algorithm, have the following problems: 1) the low localization accuracy of beacon nodes; 2) the low coverage rate in sparse environment. In this paper, we combine APIT algorithm and DV-Hop algorithm to design an enhanced hybrid 3D localization algorithm, which can improve the localization accuracy with a high coverage rate. The proposed hybrid algorithm can reduce the triangles in the triangle interior point test (PIT) and select good triangles to improve the localization accuracy of the beacon nodes in dense environments in dense environments. In addition, the algorithm can combine the advantages of APIT algorithm and DV-Hop algorithm localization algorithm to calculate the unknown node coordinates, and the location coverage of the beacon nodes in sparse environment can also be improved. Simulation results show that the proposed hybrid algorithm can effectively improve the localization accuracy of beacon nodes in the dense environment and the location coverage of beacon nodes in sparse environment.

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“…A wireless sensor network (WSN) is formed of numerous sensors that observe the network field and connect wirelessly among each other [1]. WSNs are used in many applications such as in the army, health, field monitoring, air pollution monitoring systems, and object tracking [2].…”

Section: Introductionmentioning

confidence: 99%

An Arrow-Curve Path Planning Model for Mobile Beacon Node Aided Localization in Air Pollution Monitoring System IoT

et al. 2021

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In wireless sensor networks, it is crucial to support the collected data of sensor nodes with position information. One of the promising ways to acquire the position of unknown nodes is using a mobile anchor node that traverses throughout the network, stops at determined points, and sends its position to aid in obtaining the location of other unknown nodes. The main challenge in using mobile anchor nodes lies in designing the path model with the highest localization accuracy, shortest path length, full coverage area, and minimal power consumption. In this paper, a path model named the Arrow-Curve path model is proposed for mobile node aided localization. The proposed path model can effectively localize all the static unknown sensor positions in the network field with high positioning accuracy and low power consumption while pledging full coverage area. The sensor network is implemented using MATLAB simulation and MCU node in both static unknown nodes and the mobile anchor node. The realtime environment guarantees a realistic environmental model with reliable results. The path model is implemented in realtime in indoor and outdoor environments and compared to the H-Curve path model using a trilateration technique. The results show that the suggested path model achieves better results compared to H-Curve model. The proposed path model achieves an average position error less than that of H-Curve by 10.6% in a simulation environment, 5% in an outdoor realtime environment, and 9% in an indoor realtime environment, and it decreases power consumption by 62.65% in the simulation environment, 50% in the outdoor realtime environment, and 75% in the realtime environment in indoor compared to H-Curve.

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An Improved DV-Hop Localization Algorithm

Cited by 10 publications

References 9 publications

A Novel Trust Evaluation Process for Secure Localization Using a Decentralized Blockchain in Wireless Sensor Networks

A Novel Trust Evaluation Process for Secure Localization Using a Decentralized Blockchain in Wireless Sensor Networks

An Enhanced Hybrid 3D Localization Algorithm Based on APIT and DV-Hop

An Arrow-Curve Path Planning Model for Mobile Beacon Node Aided Localization in Air Pollution Monitoring System IoT

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