Node Localization Based on Multiple Radio Transmission Power Levels for Wireless Sensor Networks

Xing, Yikang; Huangfu, Wei; Dai, Xiaoming; Hu, Xiaoyan

doi:10.1007/978-3-319-72823-0_3

Cited by 3 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Sensor nodes may cluster in some regions leaving out coverage holes and disconnected networks in other regions [10]. These coverage holes and disconnected networks result in missing out on important events and hence reduces the quality of the network [11]. Coverage holes and disconnected networks can also exist because of the presence of obstacles, energy dissipation of nodes in certain regions, radio signal attenuation and jamming [12].…”

Section: Introductionmentioning

confidence: 99%

A localization and deployment model for wireless sensor networks using arithmetic optimization algorithm

Bhat

Venkata

2022

Peer-to-Peer Netw. Appl.

View full text Add to dashboard Cite

With the advancement of sensor technologies, Wireless Sensor Networks (WSN) are envisioning a rich variety of promising services in many fields. WSN is formed by the deployment of sensor nodes in the regions of interest using a deterministic or random deployment strategy. The random deployment strategy is more suitable in large monitoring areas and harsh environments. But, in this type of deployment, coverage holes and disconnected networks can exist. Important events may get unnoticed reducing the reliability of the networks. Since the locations of nodes are unknown in a randomly deployed WSN, it is difficult to locate the holes. For this, we are proposing a localization and deployment model. The localization algorithm uses Arithmetic Optimization Algorithm (AOA) and the results of this algorithm are further used to develop a deployment model to achieve a completely connected network. This algorithm is tested in various fields. The algorithm is able to localize nodes accurately and identify the coverage holes with an error rate of less than 0.27% when the Average Localization Error (ALE) is within 5m.

show abstract

Section: Introductionmentioning

confidence: 99%

A localization and deployment model for wireless sensor networks using arithmetic optimization algorithm

Bhat

Venkata

2022

Peer-to-Peer Netw. Appl.

View full text Add to dashboard Cite

show abstract

“…But, this solution does not work when the network is heterogeneous with sensor nodes of different transmission powers. In HWSN, a node with higher transmission power can communicate to larger distances, whereas a node with lower transmission power will have a smaller communicate range [18], [19]. Hence, the problem becomes more challenging in Heterogeneous Wireless Sensor Networks (HWSN) because the heterogeneity of nodes results in varying hop sizes.…”

Section: Introductionmentioning

confidence: 99%

A Method for Fault Tolerant Localization of Heterogeneous Wireless Sensor Networks

Bhat

Santhosh

2021

IEEE Access

View full text Add to dashboard Cite

Location information of nodes in Wireless Sensor Networks (WSN) is essential to identify the origins of events and to act on them. Several localization algorithms are developed for this purpose. In this work, we have considered hop based localization algorithms, which are popularly used in WSN applications. These algorithms use a few reference nodes with location information and localize other nodes with reference to these nodes. But, in practical scenarios, some reference nodes may turn faulty and report incorrect location information to other nodes. This reduces the localization accuracy of the entire network. Therefore, it is essential to identify and filter out faulty reference nodes from the localization process. But, in Heterogeneous Wireless Sensor Networks (HWSN), since both faulty nodes and heterogeneous nodes modify hop distances, it becomes even more challenging to identify only faulty nodes among a set of heterogeneous nodes. In this work, we have reported a fault filtering method that can be used with any of the existing hop based localization algorithms for fault-tolerant localization. This method first normalizes the distance estimations using the communication radius of nodes and then uses the Jenks Natural Breaks algorithm for filtering out the nodes producing inconsistent distance estimations. The reported method is incorporated into existing localization algorithms and tested in 2D/3D, isotropic/anisotropic environments. The results show an improvement of 14%, 52%, and 51% in localization accuracy when tested with DV-Hop, Weighted DV-Hop, and HHO-AM algorithms, respectively.

show abstract

Accurate Range-Free Localization with Hybrid DV-Hop Algorithms Based on PSO for UWB Wireless Sensor Networks

Lakshmi,

Singh,

Mahajan

et al. 2023

Arab J Sci Eng

View full text Add to dashboard Cite

Node Localization Based on Multiple Radio Transmission Power Levels for Wireless Sensor Networks

Cited by 3 publications

References 16 publications

A localization and deployment model for wireless sensor networks using arithmetic optimization algorithm

A localization and deployment model for wireless sensor networks using arithmetic optimization algorithm

A Method for Fault Tolerant Localization of Heterogeneous Wireless Sensor Networks

Accurate Range-Free Localization with Hybrid DV-Hop Algorithms Based on PSO for UWB Wireless Sensor Networks

Contact Info

Product

Resources

About