Flexible beam scheduling and resource allocation strategies for satellite Internet of things by LI Fulin, WANG Jingchao, DONG Yanjie, WANG Wei, MA Xiao

“…Subsequently, a joint optimization strategy for flexible beam scheduling and resource allocation was proposed. The beam scheduling algorithm based on separated swarm optimization (SSO-BSA) was proposed to solve the flexible beam pointing coordinates, and an on-demand resource allocation algorithm based on service value degree (ORAA-SVD) was designed to provide flexible resource allocation for beams and IoT terminals. …”
Get full text

Analytical Evaluation of the Performance of Proportional Fair Scheduling in OFDMA-Based Wireless Systems by Mohamed H. Ahmed, Octavia A. Dobre, Rabie K. Almatarneh

“…We investigate a two-dimensional (time slot and frequency subcarrier) PF scheduling algorithm for OFDMA systems and evaluate its performance analytically and by simulations. …”
Get full text

Modified grey wolf optimization for energy-efficient internet of things task scheduling in fog computing by Deafallah Alsadie, Musleh Alsulami

“…Addressing this gap, this paper introduces a novel Task Scheduling algorithm based on a modified Grey Wolf Optimization approach (TS-GWO), tailored specifically for IoT requests in fog-cloud systems. …”
Get full text

Energy-Efficient Soft Real-Time Scheduling for Parameter Estimation in WSNs by Senlin Zhang, Zixiang Wang, Meikang Qiu, Meiqin Liu

“…In this paper, we proposed an energy-efficient scheduling algorithm especially for the soft real-time estimations in WSNs. …”
Get full text

Charge and discharge scheduling method for large-scale electric vehicles in V2G mode via MLGCSO by Songling Pang, Kaidi Fan, Meiyi Huo

“…Abstract This paper addresses the challenge of charging and discharging scheduling for large-scale electric vehicles (EVs) in the Vehicle-to-Grid (V2G) mode by proposing a user-oriented scheduling algorithm. First, a large-scale EV charging and discharging scheduling model grounded in the V2G mode is developed, where the objective function mainly focuses on the load variance at the user side and the charging and discharging costs for EV owners, and constraints such as the available time of EVs, charging and discharging power limits, available state of charge values, and upper and lower bounds of real-time prices are incorporated to make the model more applicable to practical engineering scenarios. …”
Get full text

Trajectory and communication scheduling optimization for the rechargeable UAV aided data collection system by Qianwen LI, Jianfeng CHEN, Miao CUI, Guangchi ZHANG

“…A rechargeable unmanned aerial vehicle (UAV) aided wireless sensor network was considered, which consists of multiple ground terminals with a large amount of time-sensitive data to be collected.Due to the limited battery capacity, the UAV cannot collect the data from all terminals through a single flight mission, and it needs to return to the charging pile to replenish its flight energy several times during the whole mission.The optimization of the terminal scheduling, trajectory, flight speed and transmission rate for the UAV was studied to maximize the number of terminals whose data had been collected within the data lifetime limit.Due to the variable coupling and the existence of discrete binary scheduling variables, the considered optimization problem is difficult to solve.To tackle such a difficulty, an efficient algorithm was proposed based on the stochastic optimization and the feature engineering.Specifically, the flight hover communication protocol was introduced to simplify the UAV flight process.And then a terminal scheduling algorithm was innovatively proposed with the influence factor and the stochastic preference, which extracted the features that affect the service time of the UAV, optimized the weights of the features, and further simplified the optimization problem into multiple subproblems.The subproblems were then solved by using the block coordinate descent and successive convex approximation techniques.Simulation results show that the proposed optimization algorithm achieves significant performance gains over several benchmark schemes in the scenarios with different data lifetime requirements and different numbers of ground terminals.…”
Get full text

Hybridization of meta-heuristic algorithm for load balancing in cloud computing environment by U.K. Jena, P.K. Das, M.R. Kabat

“…The robustness of the algorithm has been validated by comparing the results of the QMPSO obtained from the simulation process with the existing load balancing and scheduling algorithm. The comparison of the simulation and real platform result shows our proposed algorithm is outperforming its competitor.…”
Get full text

Enhanced time-slotted channel hopping scheduling with quick setup time for industrial Internet of Things networks by Kanghoon Choi, Sang-Hwa Chung

“…Simulation results show that through shorter scheduling setup time, quick setup scheduling collects more data than Decentralized Traffic Aware Scheduling, the representative scheduling algorithm. Also, quick setup scheduling ensures optimal scheduling through an algorithm that minimizes the active slot length.…”
Get full text

Traffic scheduling system of the 5G core network user plane based on INT perception by Chao WANG, Meng REN, Shangguang WANG

“…To solve the problem of huge pressure on network operation caused by the surge of 5G mobile data traffic and the continuous emergence of new network applications, a traffic scheduling system of the 5G core network user plane was designed and implemented, including network state information perception subsystem and routing decision subsystem.In the network state information perception subsystem, traditional in-band network telemetry methods incurred high bandwidth overhead and were not specifically designed for wireless network systems.Furthermore, the application of in-band network telemetry in the 5G core network faced challenges such as low measurement accuracy and the inability to guarantee QoS.A 5G core network user plane state information perception scheme based on in-band network telemetry was proposed.The telemetry information was inserted into the extended header of GTP-U message realize the measurement of network state along the path.The routing decision subsystem implemented the traffic scheduling algorithm based on the improved ant colony algorithm.The update method of the pheromone function was promoted by the perceived status information to complete the routing decision based on the real-time network state.The deployment test results showed that the network state information perception subsystem can perceive network information normally, and the routing decisions were superior to traditional routing algorithms in terms of delay, throughput and packet loss rate.…”
Get full text

Exploring a QoS Driven Scheduling Approach for Peer-to-Peer Live Streaming Systems with Network Coding by Laizhong Cui, Nan Lu, Fu Chen

“…The main contributions of this paper are: (i) We introduce a new network coding method to increase the content diversity and reduce the complexity of scheduling; (ii) we formulate the push scheduling as an optimization problem and transform it to a min-cost flow problem for solving it in polynomial time; (iii) we propose a push scheduling algorithm to reduce the coding overhead and do extensive experiments to validate the effectiveness of our approach. …”
Get full text

Utility maximization for multi-vehicle multimedia dissemination in vehicular ad hoc networks by Bin Pan, Hao Wu

“…To solve the problem in practice, an online admission control and scheduling algorithm is devised, which guarantees the inflexible data requirements of those admitted vehicles and maximize the total utility. …”
Get full text

Traffic scheduling system of the 5G core network user plane based on INT perception by Chao WANG, Meng REN, Shangguang WANG

“…To solve the problem of huge pressure on network operation caused by the surge of 5G mobile data traffic and the continuous emergence of new network applications, a traffic scheduling system of the 5G core network user plane was designed and implemented, including network state information perception subsystem and routing decision subsystem.In the network state information perception subsystem, traditional in-band network telemetry methods incurred high bandwidth overhead and were not specifically designed for wireless network systems.Furthermore, the application of in-band network telemetry in the 5G core network faced challenges such as low measurement accuracy and the inability to guarantee QoS.A 5G core network user plane state information perception scheme based on in-band network telemetry was proposed.The telemetry information was inserted into the extended header of GTP-U message realize the measurement of network state along the path.The routing decision subsystem implemented the traffic scheduling algorithm based on the improved ant colony algorithm.The update method of the pheromone function was promoted by the perceived status information to complete the routing decision based on the real-time network state.The deployment test results showed that the network state information perception subsystem can perceive network information normally, and the routing decisions were superior to traditional routing algorithms in terms of delay, throughput and packet loss rate.…”
Get full text

MIDAS: A Data Aggregation Scheduling Scheme for Variable Aggregation Rate WSNs by Jun Long, An He, Jinhuan Zhang, Hao Zhang

“…The proposed MIDAS scheme integrates two core phases, namely, data aggregation set construction and aggregation set based scheduling algorithm. The key idea of MIDAS is to minimize the number of receiving and sending data packets in hotspot and to reduce the number of aggregated packets in network for better scheduling performance in network lifetime. …”
Get full text

RILS: RFID indoor localization system using mobile readers by Jinkai Liu, Yanqing Qiu, Kezhao Yin, Wentong Dong, Jiaqing Luo

“…We then propose a continuous scanning algorithm to improve the accuracy for locating a single tagged object and a category-based scheduling algorithm to shorten the time for locating multiple tagged objects. …”
Get full text

Multi-AGV multitask collaborative scheduling based on an improved ant colony algorithm by Yazhen Zhu, Qing Song, Meng Li

“…Finally, through 30 sets of simulation experiments on material distribution tasks, it is shown that the proposed algorithm shortens the total running time by 15.14%, 12.87%, and 10.59% compared to two ant colony algorithms and one strategic multi-AGV scheduling algorithm, respectively, thus verifying the effectiveness of the proposed method.…”
Get full text

Distributed emergency control method for integrated energy system in industrial park based on alternating direction multiplier method by Wenbin Li, Lijing Jia, Baoyu Xu, Rongfei Lu, Yu Huang

“…And a distributed optimization scheduling algorithm for the comprehensive energy system of the industrial park based on ADMM is proposed. …”
Get full text

Cross-Layer Scheduling and Resource Allocation for Heterogeneous Traffic in 3G LTE by Richard Musabe, Hadi Larijani

“…This has become an open subject and different scheduling algorithms have been proposed which are quite challenging and complex. …”
Get full text

Material requirements planning with a novel lot sizing method and a new algorithm for production scheduling by Seyed Mahdi Javadi, Seyed Jafar Sadjadi, Ebrahim Teimoury, Ahmad Makui

“…Simultaneously, we designed a new production scheduling algorithm in Master Production Schedule component for a manufacturing system with k production lines and m products with n Bill of Materials for each product. …”
Get full text

An Adaptive Opportunistic Network Coding Mechanism in Wireless Multimedia Sensor Networks by Hang Shen, Guangwei Bai, Lu Zhao, Zhenmin Tang

“…Finally, we present a traffic-aware data scheduling algorithm, working together with the above network coding mechanism, to reduce the loss of potential coding opportunities. …”
Get full text

eLighthouse: Enhance Solar Power Coverage in Renewable Sensor Networks by Peng Liu, Yifan Wu, Jian Qiu, Guojun Dai, Tingting Fu

“…An energy-hub equipment has been brought forward utilizing a controlled retroreflector to forward sunlight to the appropriate nodes which urgently require recharging. The scheduling algorithm among multiple nodes is also included in this paper which helps to maintain the maximum number of nodes in active state; the localization algorithm which enables the controlled retroreflector for pointing correctly is also a key contribution of this paper. …”
Get full text