Coverage protocols for wireless sensor networks: Review and future directions

R Elhabyan, W Shi, M St-Hilaire - Journal of Communications …, 2019 - ieeexplore.ieee.org
The coverage problem in wireless sensor networks (WSNs) can be generally defined as a
measure of how effectively a network field is monitored by its sensor nodes. This problem …

Coverage problem with uncertain properties in wireless sensor networks: A survey

Y Wang, S Wu, Z Chen, X Gao, G Chen - Computer Networks, 2017 - Elsevier
The coverage problem, as a fundamental problem for almost all types of applications in
wireless sensor networks (WSNs), has been studied for over a decade. Because of its …

Coverage and connectivity aware energy efficient scheduling in target based wireless sensor networks: An improved genetic algorithm based approach

S Harizan, P Kuila - Wireless Networks, 2019 - Springer
Energy efficient scheduling of sensor nodes is one of the most efficient techniques to extend
the lifetime of the wireless sensor networks (WSNs). Instead of activating all the deployed …

Design consideration and issues in wireless sensor network deployment

V Narayan, AK Daniel - 2020 - indianjournals.com
Wireless Sensor Network (W SN) is a challenging area and key technology consisting of
multiple numbers of Sensor Nodes (SN) deployed in the network for data gathering tasks …

An energy-efficient routing protocol for 3D wireless sensor networks

Y Xu, W Jiao, M Tian - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Energy optimization is a key problem of the energy-limited wireless sensor network (WSN),
which is usually deployed in the three-dimensional space. In order to alleviate this problem …

A novel fuzzy similarity measure and prevalence estimation approach for similarity profiled temporal association pattern mining

V Radhakrishna, SA Aljawarneh, PV Kumar… - Future generation …, 2018 - Elsevier
Abstract Data generated from Sensors, IoT environment and many real time applications is
mainly spatial, temporal, or spatio-temporal. Some of them include data generated from …

Jaya, harmony search and water cycle algorithms for solving large-scale real-life urban traffic light scheduling problem

K Gao, Y Zhang, A Sadollah, A Lentzakis… - Swarm and evolutionary …, 2017 - Elsevier
This paper studies a large-scale urban traffic light scheduling problem (LUTLSP). A
centralized model is developed to describe the LUTLSP, where each outgoing flow rate is …

A novel NSGA-II for coverage and connectivity aware sensor node scheduling in industrial wireless sensor networks

S Harizan, P Kuila - Digital Signal Processing, 2020 - Elsevier
Scheduling of the sensor nodes has attracted the interest of the research and scientific
community by its ability to prolong the lifetime of the wireless sensor networks (WSNs). Full …

A survey of dynamic parameter setting methods for nature-inspired swarm intelligence algorithms

HD Phan, K Ellis, JC Barca, A Dorin - Neural computing and applications, 2020 - Springer
Parameter settings for nature-inspired optimization algorithms are essential for their effective
performance. Evolutionary algorithms and swarm intelligence algorithms are prominent …

Meta-heuristics for bi-objective urban traffic light scheduling problems

K Gao, Y Zhang, Y Zhang, R Su… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
This paper addresses a bi-objective urban traffic light scheduling problem (UTLSP), which
requires minimizing both the total network-wise delay time of all vehicles and total delay time …