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Strategies based on various aspects of clustering in wireless sensor networks using classical, optimization and machine learning techniques: Review, taxonomy …
J Amutha, S Sharma, SK Sharma - Computer Science Review, 2021 - Elsevier
Abstract Wireless Sensor Networks (WSNs) have attracted various academic researchers,
engineers, science, and technology communities. This attraction is due to their broad …
engineers, science, and technology communities. This attraction is due to their broad …
Distributed job scheduling based on Swarm Intelligence: A survey
Scientists and engineers need computational power to satisfy the increasing resource
intensive nature of their simulations. For example, running Parameter Sweep Experiments …
intensive nature of their simulations. For example, running Parameter Sweep Experiments …
Minimizing total energy cost and tardiness penalty for a scheduling-layout problem in a flexible job shop system: A comparison of four metaheuristic algorithms
Job scheduling and machine layout are interrelated in improving energy consumption (EC)
and productivity measures such as tardiness and represent two important decisions that …
and productivity measures such as tardiness and represent two important decisions that …
Optimal design of community battery energy storage systems with prosumers owning electric vehicles
SA El-Batawy, WG Morsi - IEEE Transactions on Industrial …, 2017 - ieeexplore.ieee.org
This paper presents a novel approach that aims to assist a distribution system operator to
intelligently design the community battery energy storage systems considering high …
intelligently design the community battery energy storage systems considering high …
A discrete particle swarm optimization approach for energy-efficient IoT services placement over fog infrastructures
The Internet of Things (IoT) encompasses both large-scale deployed physical infrastructures
and software layers that enable intuitive and transparent creation of applications. This highly …
and software layers that enable intuitive and transparent creation of applications. This highly …
Hybrid computation offloading for smart home automation in mobile cloud computing
Smart home automation enables the users to realize the access control of the in-home
appliances by the mobile devices. With the rapid development of mobile cloud computing …
appliances by the mobile devices. With the rapid development of mobile cloud computing …
[PDF][PDF] Dynamic resource allocation in cloud computing
Utilizing dynamic resource allocation for load balancing is considered as an important
optimization process in cloud computing. In order to achieve maximum resource efficiency …
optimization process in cloud computing. In order to achieve maximum resource efficiency …
Reliable task allocation for time-triggered IoT-WSN using discrete particle swarm optimization
A wireless sensor network (WSN) constitutes of nodes that are used to sense a certain
physical environment phenomena and sends these collected data to a remote node for …
physical environment phenomena and sends these collected data to a remote node for …
A load balancing algorithm for resource allocation in cloud computing
Utilizing dynamic resource allocation for load balancing is considered as an important
optimization process of task scheduling in cloud computing. A poor scheduling policy may …
optimization process of task scheduling in cloud computing. A poor scheduling policy may …
Solving a new variant of the capacitated maximal covering location problem with fuzzy coverage area using metaheuristic approaches
Abstract The Maximal Covering Location Problem (MCLP) is concerned with the optimal
placement of a fixed number of facilities to cover the maximum number of customers. This …
placement of a fixed number of facilities to cover the maximum number of customers. This …