Fuzzy Logic-Based Range-Free Localization in WSN

Chadha, Jigyasa; Jain, Aarti

doi:10.1007/978-981-16-2354-7_9

Cited by 2 publications

(3 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Localization of sensor nodes using fuzzy logic: The localization is the process of locating the nodes with the help of anchor node whose location coordinates are pre-known to the user. [102][103][104][105] Various evolutionary algorithms have been employed by the researchers to reduce the localization error. However, as it is non-polynomial (NP)-hard problem, there is still requirement for optimizing the localization process for a target node.…”

Section: Future Research Directionsmentioning

confidence: 99%

“…The detection of malicious node and hence the unauthenticated activity in the network will help to secure the network efficiently. The hybrid approach targeting energy efficiency and the security aspects of sensor nodes collectively can favor various critical applications for example military surveillance. Localization of sensor nodes using fuzzy logic: The localization is the process of locating the nodes with the help of anchor node whose location coordinates are pre‐known to the user 102–105 . Various evolutionary algorithms have been employed by the researchers to reduce the localization error.…”

Section: Future Research Directionsmentioning

confidence: 99%

See 1 more Smart Citation

Fuzzy‐based techniques for clustering in wireless sensor networks (WSNs): Recent advances, challenges, and future directions

Verma

Bhatia

Zeadally

et al. 2023

Int J Communication

View full text Add to dashboard Cite

SummaryA wireless sensor network (WSN) is a network of tiny sensors deployed to collect data. These sensors are powered with batteries that have limited power. Recharging and/or replacement of these batteries, however, are not always feasible. Over the past few years, WSN applications are being deployed in diverse fields such as military, manufacturing, healthcare, agriculture, and so on. With the ever‐increasing applications of WSNs, improving the energy efficiency of the WSNs still remains to be a challenge. Applying fuzzy logic to the problem of clustering exploits the uncertainty associated with the factors that affect the lifetime of these sensors and enables the development of models that would improve their performance in real‐world applications. We present a comprehensive review of various fuzzy‐based techniques for clustering in WSNs whose main goal is to optimize energy usage in WSNs while simultaneously improving their overall performance.

show abstract

Section: Future Research Directionsmentioning

confidence: 99%

Section: Future Research Directionsmentioning

confidence: 99%

Fuzzy‐based techniques for clustering in wireless sensor networks (WSNs): Recent advances, challenges, and future directions

Verma

Bhatia

Zeadally

et al. 2023

Int J Communication

View full text Add to dashboard Cite

show abstract

“…An array of sensors called a "sensor network." It is used for data collection, transmission, and sensing [1][2][3]. There are numerous ways in which base stations have enhanced daily living.…”

Section: Introductionmentioning

confidence: 99%

PSO-based DV-Hop Localization for Healthcare Sensor Nodes

Singh¹,

Misra²,

Mishra³

2023

IJSMIEN

View full text Add to dashboard Cite

Locating specific sensor nodes can be a difficult process in wireless sensor networks, making it one of the most difficult aspects of these networks. It is helpful in pinpointing the precise location where something took place. As a result of the fact that this is a one-time process, nodes are often only localised once for the course of the network entire existence. On the other hand, a landslip or some other catastrophe that takes place in the real world can lead the nodes of the network to become distributed across it. When something comparable does place, it is absolutely necessary to be aware of the locations of these sensor nodes. In this paper, we suggest a different localization technique, one that is able to function with sensor nodes that have been moved. The system that has been proposed takes into account DV-Hop localization methods that are based on particle swarm optimization (PSO). We also take into consideration the electromagnetic abnormality model as an illustration of how the strategy that was described could be implemented in an anisotropic network. When compared to the conventional PSO DV-Hop structure, the simulations’ findings indicate that our innovative localization framework significantly reduces the amount of time, inaccuracy, and power consumption required.

show abstract

Fuzzy Logic-Based Range-Free Localization in WSN

Cited by 2 publications

References 15 publications

Fuzzy‐based techniques for clustering in wireless sensor networks (WSNs): Recent advances, challenges, and future directions

Fuzzy‐based techniques for clustering in wireless sensor networks (WSNs): Recent advances, challenges, and future directions

PSO-based DV-Hop Localization for Healthcare Sensor Nodes

Contact Info

Product

Resources

About