Localization in wireless sensor networks: A survey on algorithms, measurement techniques, applications and challenges
Localization is an important aspect in the field of wireless sensor networks (WSNs) that has
developed significant research interest among academia and research community. Wireless …
developed significant research interest among academia and research community. Wireless …
Survey of localization for internet of things nodes: Approaches, challenges and open issues
With exponential growth in the deployment of Internet of Things (IoT) devices, many new
innovative and real-life applications are being developed. IoT supports such applications …
innovative and real-life applications are being developed. IoT supports such applications …
Particle swarm optimization based clustering algorithm with mobile sink for WSNs
Wireless sensor networks with fixed sink node often suffer from hot spots problem since
sensor nodes close to the sink usually have more traffic burden to forward during …
sensor nodes close to the sink usually have more traffic burden to forward during …
Analysis of security and energy efficiency for shortest route discovery in low‐energy adaptive clustering hierarchy protocol using Levenberg‐Marquardt neural network …
M Mittal, C Iwendi, S Khan… - Transactions on …, 2021 - Wiley Online Library
Wireless sensor network (WSN) is a collection of a huge number of autonomous sensor
nodes having capabilities such as sensing, processing, and manipulation. In any WSN …
nodes having capabilities such as sensing, processing, and manipulation. In any WSN …
Superior path planning mechanism for mobile beacon-assisted localization in wireless sensor networks
In many wireless sensor network applications, such as warning systems or healthcare
services, it is necessary to update the captured data with location information. A promising …
services, it is necessary to update the captured data with location information. A promising …
Accuracy of RSS-based centroid localization algorithms in an indoor environment
In this paper, we analyze the accuracy of indoor localization measurement based on a
wireless sensor network. The position estimation procedure is based on the received-signal …
wireless sensor network. The position estimation procedure is based on the received-signal …
Machine learning techniques for energy efficiency and anomaly detection in hybrid wireless sensor networks
Wireless sensor networks (WSNs) are among the most popular wireless technologies for
sensor communication purposes nowadays. Usually, WSNs are developed for specific …
sensor communication purposes nowadays. Usually, WSNs are developed for specific …
Weighted centroid localization algorithm: theoretical analysis and distributed implementation
Information about primary transmitter location is crucial in enabling several key capabilities
in cognitive radio networks, including improved spatio-temporal sensing, intelligent location …
in cognitive radio networks, including improved spatio-temporal sensing, intelligent location …
Distributed projection-based algorithms for source localization in wireless sensor networks
In this paper, we investigate source localization for wireless sensor networks based on
received signal strength. We first formulate the localization problem as the intersection …
received signal strength. We first formulate the localization problem as the intersection …
Artificial neural networks-based improved Levenberg–Marquardt neural network for energy efficiency and anomaly detection in WSN
One of the key goals in the design of the networks is to increase the lifespan of wireless
sensor networks (WSNs). Using different models of intelligent energy management could …
sensor networks (WSNs). Using different models of intelligent energy management could …