Hybrid multi-objective evolutionary algorithms based on decomposition for wireless sensor network coverage optimization

Y Xu, O Ding, R Qu, K Li - Applied Soft Computing, 2018 - Elsevier
Abstract In Wireless Sensor Networks (WSN), maintaining a high coverage and extending
the network lifetime are two conflicting crucial issues considered by real world service …

Multi-objective evolutionary algorithm based on decomposition for energy efficient coverage in wireless sensor networks

S Özdemir, BA Attea, ÖA Khalil - Wireless personal communications, 2013 - Springer
Wireless sensor networks (WSNs) have become a hot area of research in recent years due
to the realization of their ability in myriad applications including military surveillance, facility …

A hybrid multiobjective evolutionary approach for improving the performance of wireless sensor networks

FVC Martins, EG Carrano, EF Wanner… - IEEE Sensors …, 2010 - ieeexplore.ieee.org
The increasing in the demand for Wireless Sensor Networks (WSNs) has intensified studies
which are dedicated to obtain more energy-efficient solutions, since the energy storage …

Multiobjective optimization for topology and coverage control in wireless sensor networks

SM Jameii, K Faez, M Dehghan - International Journal of …, 2015 - journals.sagepub.com
Coverage, connectivity, and network lifetime are important issues in wireless sensor
networks (WSNs). Balancing the energy consumption in the network, reducing the …

Wireless sensors deployment optimization using a constrained Pareto-based multi-objective evolutionary approach

M Khalesian, MR Delavar - Engineering Applications of Artificial …, 2016 - Elsevier
Sensors deployment is one of the most fundamental issues in wireless sensor networks
(WSNs) design. One of the major challenges in sensors deployment is to find a tradeoff …

Multi-objective energy-efficient dense deployment in wireless sensor networks using a hybrid problem-specific MOEA/D

A Konstantinidis, K Yang - Applied Soft Computing, 2011 - Elsevier
Abstract An energy-efficient Wireless Sensor Network (WSN) design often requires the
decision of optimal locations (deployment) and power assignments of the sensors to be …

A survey of multi-objective optimization in wireless sensor networks: Metrics, algorithms, and open problems

Z Fei, B Li, S Yang, C Xing, H Chen… - … Surveys & Tutorials, 2016 - ieeexplore.ieee.org
Wireless sensor networks (WSNs) have attracted substantial research interest, especially in
the context of performing monitoring and surveillance tasks. However, it is challenging to …

Enhancing Whale Optimization Algorithm with Levy Flight for coverage optimization in wireless sensor networks

R Deepa, R Venkataraman - Computers & Electrical Engineering, 2021 - Elsevier
Coverage Optimization is one of the most essential pre-requisites in Wireless Sensor
Networks (WSNs) which plays a significant and impactful role in the field of environmental …

Joint resource allocation algorithm based on multi-objective optimization for wireless sensor networks

X Hao, N Yao, L Wang, J Wang - Applied Soft Computing, 2020 - Elsevier
With the limitations of the network resources and battery energy of wireless sensors, the
competition of resources in the process of communication will increase the network energy …

AMOF: Adaptive multi-objective optimization framework for coverage and topology control in heterogeneous wireless sensor networks

SM Jameii, K Faez, M Dehghan - Telecommunication Systems, 2016 - Springer
In this paper, we propose adaptive multi-objective optimization framework based on non-
dominated sorting genetic algorithm-II and learning automata (LA) for coverage and …