Reliability of communication networks with delay constraints: computational complexity and complete topologies by H. Cancela, L. Petingi

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Delay constraint minimum interruption routing algorithm for mobile satellite network by ZHANG Tao, LIU Zhong-kan, ZHANG Jun

“…By the analysis of the characteristics of mobile satellite network,such as a long delay and a topological time-varying,a novel satellite network delay constraint optimal path（SDCOP）algorithm,which could obtain a path to sat-isfy the delay constraint condition as well as the minimization of interruption during the service,was proposed.This algo-rithm exploits the predictive nature of connectivity changes of time-varying topological to decrease the influence in the QoS routing performance caused by the handover.Besides,it has a low computing complexity to adapt to the restricted computing capability of satellite equipments.Correlative simulation indicates that this novel algorithm is superior to other current algo-rithm in respect of computing complexity,service blocking probability and interrupting probability etc.…”
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Delay constraint minimum interruption routing algorithm for mobile satellite network by ZHANG Tao, LIU Zhong-kan, ZHANG Jun

“…By the analysis of the characteristics of mobile satellite network,such as a long delay and a topological time-varying,a novel satellite network delay constraint optimal path（SDCOP）algorithm,which could obtain a path to sat-isfy the delay constraint condition as well as the minimization of interruption during the service,was proposed.This algo-rithm exploits the predictive nature of connectivity changes of time-varying topological to decrease the influence in the QoS routing performance caused by the handover.Besides,it has a low computing complexity to adapt to the restricted computing capability of satellite equipments.Correlative simulation indicates that this novel algorithm is superior to other current algo-rithm in respect of computing complexity,service blocking probability and interrupting probability etc.…”
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Backup Routing Algorithm Based on Delay Constraint in Cognitive Radio Sensor Networks by Zhenguo Wu, Xiaozhu Liu, Yan Zhang, Hooman Samani, Rongbo Zhu

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Graph Neural Network for In-Network Placement of Real-Time Metaverse Tasks in Next-Generation Networks by Sulaiman Muhammad Rashid, Ibrahim Aliyu, Il-Kwon Jeong, Tai-Won Um, Jinsul Kim

“…The task placement challenge is modeled as an integer linear programming (ILP) problem aimed at minimizing overall system costs while adhering to stringent delay constraints. Although optimal solutions can be derived using standard optimization solvers, their high computational overhead makes them unsuitable for real-time deployment. …”
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An ICN-Based Delay-Sensitive Service Scheduling Architecture with Stateful Programmable Data Plane for Computing Network by Ranran Wei, Rui Han

“…The network nodes are first layered based on the type of computing clusters they are linked with, and then within each layer, they are divided into several domains according to delay constraints. …”
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Dynamic service migration strategy based on MDP model with multiple parameter in vehicular edge network by Hui GUO, Lanlan RUI, Zhipeng GAO

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ML-RASPF: A Machine Learning-Based Rate-Adaptive Framework for Dynamic Resource Allocation in Smart Healthcare IoT by Wajid Rafique

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Priority-Aware SDN Orchestration for Surgical IoMT: A Joint Optimization of Hit Ratio and Latency With Dynamic Resource Reallocation by Yalda Safaei, Pouria Arefijamal, Mahdi Siamaki, Bardia Safaei

“…A computationally efficient, priority-aware greedy algorithm operationalizes this strategy on the SDN controller. …”
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Dynamic Retransmission Limit Scheme in MAC Layer for Routing in Multihop Ad hoc Networks by Ralph El-Khoury, Rachid El-Azouzi

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Task scheduling optimization strategy for roadside unit based on security strength by SU Beipo, DAI Liang, JU Yongfeng

“…In the context of cooperative vehicle-infrastructure systems (CVIS), vehicles often offload computational tasks to roadside units (RSUs) for execution due to their own constrained computing resources. …”
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Delay Constrained Hybrid Task Offloading of Internet of Vehicle: A Deep Reinforcement Learning Method by Chenhao Wu, Zhongwei Huang, Yuntao Zou

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Harnessing Vehicle-to-Vehicle Communications for 3G Downloads on the Move by Yanmin Zhu, Qinghua Chen, Chao Chen

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Energy consumption optimization scheme in UAV-assisted MEC system based on optimal SIC order by Wei JI, Xuxin YANG, Fei LI, Ting LI, Yan LIANG, Yunchao SONG

“…In uplink non-orthogonal multiple access (NOMA)-based unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system, the successive interference cancellation (SIC) order of NOMA became a bottleneck limiting the transmission performance of task offload in uplink link.To reduce the energy consumption of the system, the SIC order was discussed and the optimal SIC order based on channel gain and task delay constraint was proposed.The optimization problem of minimizing the system energy consumption was proposed based on the optimal SIC order while satisfying the constraints of the given task delay of the device, the maximum transmit power constraint of the device, and the UAV trajectory.Since the problem was a complex non-convex problem, an alternating optimization method was adopted to solve the optimization problem to achieve power allocation and UAV trajectory optimization.A low-complexity algorithm based on matching theory was proposed to obtain the optimal device grouping in different time slots.Simulation results show that the optimal SIC order can realize smaller system energy consumption under the same task delay constraint compared with other SIC order, the proposed low-complexity device grouping algorithm can obtain the optimal device grouping.…”
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Energy consumption optimization scheme in UAV-assisted MEC system based on optimal SIC order by Wei JI, Xuxin YANG, Fei LI, Ting LI, Yan LIANG, Yunchao SONG

“…In uplink non-orthogonal multiple access (NOMA)-based unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system, the successive interference cancellation (SIC) order of NOMA became a bottleneck limiting the transmission performance of task offload in uplink link.To reduce the energy consumption of the system, the SIC order was discussed and the optimal SIC order based on channel gain and task delay constraint was proposed.The optimization problem of minimizing the system energy consumption was proposed based on the optimal SIC order while satisfying the constraints of the given task delay of the device, the maximum transmit power constraint of the device, and the UAV trajectory.Since the problem was a complex non-convex problem, an alternating optimization method was adopted to solve the optimization problem to achieve power allocation and UAV trajectory optimization.A low-complexity algorithm based on matching theory was proposed to obtain the optimal device grouping in different time slots.Simulation results show that the optimal SIC order can realize smaller system energy consumption under the same task delay constraint compared with other SIC order, the proposed low-complexity device grouping algorithm can obtain the optimal device grouping.…”
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Optimizing High-Speed Railroad Timetable with Passenger and Station Service Demands: A Case Study in the Wuhan-Guangzhou Corridor by Jin Wang, Leishan Zhou, Yixiang Yue, Jinjin Tang, Zixi Bai

“…Three acceleration strategies, namely, initial solution iteration, delayed constraints, and column removal, were designed to accelerate the computation. …”
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Delay-constrained data aggregation scheduling in wireless sensor networks by Cheng Feng, Zhijun Li, Shouxu Jiang, Weipeng Jing

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