SALA-IoT: Self-reduced internet of things with learning automaton sleep scheduling algorithm

AK Sangaiah, A Javadpour, F Ja'fari… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
The extensive development of wireless communications has led to the popularity of self-
powered Internet-of-Things (SPIoT) networks. Even though significant advances made in …

A sleep scheduling approach based on learning automata for WSN partialcoverage

H Mostafaei, A Montieri, V Persico… - Journal of Network and …, 2017 - Elsevier
Wireless sensor networks (WSNs) are currently adopted in a vast variety of domains where
sensor energy consumption is a critical challenge because of the existing power constraints …

Distributed genetic algorithm for lifetime coverage optimisation in wireless sensor networks

AK Idrees, WL Al-Yaseen - International Journal of …, 2021 - inderscienceonline.com
In this paper, a protocol called distributed genetic algorithm for lifetime coverage
optimisation (DiGALCO) is suggested to preserve the coverage and enhance the lifetime of …

Stochastic barrier coverage in wireless sensor networks based on distributed learning automata

H Mostafaei - Computer Communications, 2015 - Elsevier
Barrier coverage is one of the most important applications of wireless sensor networks. It is
used to detect mobile objects are entering into the boundary of a sensor network field …

Link prediction based on temporal similarity metrics using continuous action set learning automata

B Moradabadi, MR Meybodi - Physica a: statistical mechanics and its …, 2016 - Elsevier
Link prediction is a social network research area that tries to predict future links using
network structure. The main approaches in this area are based on predicting future links …

A novel time series link prediction method: Learning automata approach

B Moradabadi, MR Meybodi - Physica A: Statistical Mechanics and its …, 2017 - Elsevier
Link prediction is a main social network challenge that uses the network structure to predict
future links. The common link prediction approaches to predict hidden links use a static …

A new stable election-based routing algorithm to preserve aliveness and energy in fog-supported wireless sensor networks

PGV Naranjo, M Shojafar, A Abraham… - … on Systems, Man …, 2016 - ieeexplore.ieee.org
One of the current key challenges in wireless sensor networks is the development of routing
protocols that provide stable cluster-head election, while prolonging network lifetime by …

Wireless sensor network in IoT and performance optimization

S Gupta, S Gupta, D Goyal - Recent Advances in Computer …, 2022 - ingentaconnect.com
A serious problem in Wireless Sensor Networks (WSNs) is to attain high energy efficiency as
a battery is used for power generation that has limited stored energy. They can not be …

An on-demand coverage based self-deployment algorithm for big data perception in mobile sensing networks

Y Lin, X Wang, F Hao, L Wang, L Zhang… - Future Generation …, 2018 - Elsevier
Abstract Mobile Sensing Networks have been widely applied to many fields for big data
perception such as intelligent transportation, medical health and environment sensing …

Genetic algorithm‐based meta‐heuristic for target coverage problem

Manju, S Chand, B Kumar - IET Wireless Sensor Systems, 2018 - Wiley Online Library
In wireless sensor networks (WSNs), network lifetime and energy consumption are two
important parameters which directly impacts each other. In order to enhance the global …