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Adaptive scheduling for multi-objective resource allocation through multi-criteria decision-making and deep Q-network in wireless body area networks
To provide compelling trade-offs among conflicting optimization criteria, various scheduling techniques employing multi-objective optimization (MOO)...
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Enhanced Whale Optimization Algorithm for task scheduling in cloud computing environments
The escalation of cloud services, driven by their accessibility, improved performance, and cost-effectiveness, has led cloud service providers to...
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Quantum Computing Approaches to Optimize Employee Scheduling in Multi-task Call Centers
The call center industry urgently needs efficient staff scheduling due to unpredictable customer service demands and challenges in human resource... -
Scheduling based on residual energy of sensors to extend the lifetime of network in wireless sensor network
The maximum amount of sensor energy is consumed during broadcasting. Hence in order to make delay with the network lifetime of a wireless sensor...
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LMSF: Lightweight Minimal Scheduling Function for 6TiSCH Networks
Link scheduling is a core component of 6TiSCH networks, specifying which link is allowed to transfer packets at what time and in which channel. For... -
EDSF: Efficient Distributed Scheduling Function for IETF 6TiSCH-based Industrial Wireless Networks
IETF 6TiSCH, which is composed of the IEEE802.15.4e and IPv6 RPL protocols, is a highly reliable and low-power industrial wireless network protocol...
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Real Time Scheduling in TSCH for IoT Using Neurogenetic Algorithm
Internet of Things (IoT) is a widely adoptable technology in industrial, smart home, smart grid, smart city and smart healthcare applications. The...
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Modified and hybridised bi-objective firefly algorithms for university course scheduling
Academic institutions may be edging towards a global uncertainty, recession, and a string of financial difficulties. An effective course timetabling...
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A Collision-Free Scheduling Algorithm with Minimum Data Redundancy Transmission for TSCH
The IEEE 802.15.4e specified the Time Slotted Channel Hop** (TSCH) that uses multi-channels and shared links to ensure a reliable and efficient...
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Development of a Network Manager Compatible with WirelessHART Standard
The use of industrial wireless networks has been growing continuously and has become an alternative to cable based networks. One of the main elements...
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Conflict Graph Based Concurrent Transmission Scheduling Algorithms for the Next Generation WLAN
Two conflict graph based concurrent transmission scheduling algorithms are proposed in this paper to efficiently solve the spatial TDMA (STDMA)...
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Two-Level Priority Task Scheduling Algorithm for Real-Time IoT Based Storage Condition Assessment System
Most Internet of Things (IoT) tasks progressively run in real-time with an explicit deterministic timing requirement. Various real-time systems are... -
8. Relative Differentiated Quality of Service of the Internet
In this chapter, the feedback cyclic control policy is first extended to the case that the arrival rates are not known in advance. The policy is then... -
Airline Workforce Scheduling Based on Multi-agent Systems
This study addresses employee’s scheduling problems of an airline company who are assigned to customer service at an airport. The problem can be... -
Energy-Efficient Superframe Scheduling in Industrial Wireless Networked Control System
In industrial wireless control and monitoring applications, wireless sensor and actuator (WSAN) nodes are usually deployed at field, thus, stringent... -
Dynamic TDMA Scheduling for Topology Controlled Clustering in Wireless Sensor Networks
Kelagadi, Hemantaraj M. Shrinidhi, B. PriyatamkumarThe need for interconnection among multiple sensor nodes in Wireless Sensor Networks (WSN) leads... -
Sensor Scheduling for Airborne Multi-target Tracking with Limited Sensor Resources
Aerial surveillance systems have become an important aspect in a range of civilian and military applications. For instance, reliable location data of... -
Advances on Particle Swarm Optimization in Solving Discrete Optimization Problems
Particle Swarm Optimization (PSO) is a well-known optimization method which optimizes a problem by having a population of candidate solutions, here... -
Dynamic Resource Allocation for Differentiated QoS Requirements in DVB-RCS2 Satellite Systems
In recent years, satellite communication has been praised as the key enabler to achieve the goal of ubiquitous access of next-generation... -
Implementation Architecture and Supporting Technologies
This chapter first summarizes the implementation requirements of the core methods in Chaps. 4 ,...