As data-intensive services continue to grow in demand, Satellite-terrestrial networks (STNs) face increasing challenges such as congestion on backhaul links, deteriorating quality of service (QOS) for users, and risin...
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ISBN:
(数字)9798350378412
ISBN:
(纸本)9798350378429
As data-intensive services continue to grow in demand, Satellite-terrestrial networks (STNs) face increasing challenges such as congestion on backhaul links, deteriorating quality of service (QOS) for users, and rising power consumption. Cache-aided STNs present a promising solution by enhancing content delivery and alleviating backhaul load. However, the dynamic nature of low earth orbit (LEO) satellites and the intricate interference between satellite beams and terrestrial stations introduce complexities in resource management. This paper formulates an optimization problem for dynamically cooperative multicast beamforming among satellite beams and terrestrial stations to minimize network costs, including power and backhaul traffic, while adhering to user QoS and resource limits. To tackle this non-convex problem, we propose a successive convex approximation-based iterative algorithm. Simulation results demonstrate the effectiveness of our proposed method and highlight the significant impacts of beam direction and caching strategies on network performance.
Undoubtedly, smart elderly care systems can leverage Internet of Things (IoT) technology to enhance senior living services by integrating connected devices and sensors. Nevertheless, it is still a challenging issue to...
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ISBN:
(数字)9781728190549
ISBN:
(纸本)9781728190556
Undoubtedly, smart elderly care systems can leverage Internet of Things (IoT) technology to enhance senior living services by integrating connected devices and sensors. Nevertheless, it is still a challenging issue to achieve secure and efficient multicast group communication among these IoT devices in smart elderly care systems, as IoT devices can dynamically become targets during multicast communication. To address this challenge, in this paper, we propose a new efficient multicast authenticated encryption scheme, which is characterized by integrating Merkle Tree, prefix encoding, XOR filters, and ASCON techniques to provide a robust solution for secure and personalized eldercare services in IoT-enabled environments. Security analysis demonstrates that our proposed scheme can satisfy the confidentiality and integrity requirements. In addition, the performance evaluation confirms that our proposed scheme is computationally efficient.
Dynamically reconfiguring video encoding parame-ters provides more flexibility to accommodate the diverse and time-varying user's channel conditions to improve the overall service quality of wireless scalable vide...
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ISBN:
(数字)9798331507077
ISBN:
(纸本)9798331507084
Dynamically reconfiguring video encoding parame-ters provides more flexibility to accommodate the diverse and time-varying user's channel conditions to improve the overall service quality of wireless scalable video multicast, which has yet been well addressed in the literature. In this paper, we propose a cross-layer optimization strategy that combines encoding settings configuration, radio blocks allocation as well as modulation and coding scheme assignment for wireless scalable video multicast. The joint optimization problem to maximize the system utility of multicast group is formulated as integer programming. To solve the formulated NP-hard problem to meet the demands of online real-time computing and optimization, a heuristic greed algorithm with slight computational burden is developed. Comparative simulation results show the effectiveness of the proposed strategy.
Scalable video coding (SVC) associated with adaptive modulation and coding (AMC) has provided an excellent solution for transmitting real-time videos. However, some users have bad channel conditions with the base stat...
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ISBN:
(数字)9798331509712
ISBN:
(纸本)9798331509729
Scalable video coding (SVC) associated with adaptive modulation and coding (AMC) has provided an excellent solution for transmitting real-time videos. However, some users have bad channel conditions with the base station (BS) and need help getting a good quality of service (QoS). With the fifth generation (5G) of the cellular network, these users can also receive most of the data by device-to-device (D2D) transmissions. In this paper, we focus on live video delivery scenarios. We adopt the multicast Multi-Hop D2D and reuse spectrum spatially to help broadcast the scalable videos. We aim to maximize all users’ average quality of service (QoS) by jointly optimizing D2D cluster heads (CHs) selection and channel reuse. The problem is an integer non-linear programming problem, and we decompose the problem into two subproblems: the D2D cluster formation problem and the resource allocation problem. To solve the first subproblem, we propose a greedy algorithm to form D2D clusters that can broadcast more efficiently. We convert the second subproblem to a combination of two partial graph coloring problems in two conflict graphs. An algorithm similar to the recursive largest first (RLF) algorithm but considering the conflicts in both graphs is provided for the second subproblem. We execute numerical simulations to validate the performance of our proposal.
This paper investigates least-cost Quality-of-service (QoS) multicast routing problem in Internet protocol over Dense wavelength division multiplexing (IP/DWDM) optical networks and presents an Adaptive-evolution-base...
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This paper investigates least-cost Quality-of-service (QoS) multicast routing problem in Internet protocol over Dense wavelength division multiplexing (IP/DWDM) optical networks and presents an Adaptive-evolution-based quantum genetic algorithm (AEQGA). Based on Adaptive evolution (AE) mechanism, AEQGA assigns adaptively-adjusted evolutionary parameters to every chromosome according to its own evolutionary situation before each update. Simulation results show that AE-QGA is superior to other existing algorithms and is characterized by fast convergence and effective global search capability.
Current multicast protocols assume prior knowledge of destination locations, leading to excessive message transmissions, especially in sensor networks with mobile sinks. Quorum-based systems, known for efficient infor...
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ISBN:
(数字)9798350349184
ISBN:
(纸本)9798350349191
Current multicast protocols assume prior knowledge of destination locations, leading to excessive message transmissions, especially in sensor networks with mobile sinks. Quorum-based systems, known for efficient information dissemination, have not been explored in the context of multicast. To address this gap, we propose ORM (Orthogonal Rendezvous multicast), a quorum-based multicast protocol that solves location dissemination and data multicasting as a whole. The protocol utilizes a simple geometric principle to disseminate the information from sinks and sources. By exploiting the footprint of disseminated information, ORM transforms the underlying infrastructure to reveal the hidden multicasting structure. Furthermore, two efficient algorithms are proposed to fetch the optimal efficient multicasting paths based on the built infrastructure. ORM was implemented in the NS-2 simulator. Our detailed simulations demonstrate that ORM achieves significantly enhanced scalability in terms of message overhead and low cost without the burden of complex state maintenance.
Space-Air-Ground Integrated Network (SAGIN) is emerged as a promising paradigm to realize the vision of global coverage of sixth generation (6G) communication network. As an efficient communication pattern, multicast ...
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ISBN:
(数字)9798350303582
ISBN:
(纸本)9798350303599
Space-Air-Ground Integrated Network (SAGIN) is emerged as a promising paradigm to realize the vision of global coverage of sixth generation (6G) communication network. As an efficient communication pattern, multicast communication can be widespread among the ever increasing communication requests in the seamless access SAG IN. However, given the extensive network scale, time varying characteristic and heterogeneity of SAG IN, the coordination of heterogeneous networks brings challenges to resource allocation. With virtualization technologies, the physical resources within SAGIN can be virtualized as Virtual Network Functions (VNFs) in virtual resource pool. To ensure that multicast services can be provided, the network deploys multicast Service Function Chains (MSFCs) where the service flows is processed by VNFs in order during the transmission. In this paper, we study the problem of jointly optimizing VNF placement and multicast routing within SAG IN while considering that different network segments are equipped with different physical network resources and cost coefficients. We formulate it as an Integer Linear Programming (ILP) problem with the objective of maximizing network revenue while minimizing resource cost of computation and bandwidth. Since it is NP-hard, a low complexity heuristic algorithm is developed to find an efficient solution within polynomial time. Simulation results demonstrate the effectiveness of our proposed model and algorithm, and the deployment cost and blocking rate can be significantly reduced in SAGIN compared with independent terrestrial network.
This paper proposes a BIER-based multicast member management mechanism (BIER-MNet) aimed at addressing performance bottlenecks of traditional multicast member management protocols in BIER multicast. By introducing a m...
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ISBN:
(数字)9798350353594
ISBN:
(纸本)9798350353600
This paper proposes a BIER-based multicast member management mechanism (BIER-MNet) aimed at addressing performance bottlenecks of traditional multicast member management protocols in BIER multicast. By introducing a multicast member mapping management mechanism, it achieves finegrained multicast member management, reduces router signaling overhead, and enhances the scalability of multicast member management. The designed BIER-MNet architecture extends the functions of the original BIER multicast architecture, providing an overall architecture that includes the multicast management layer, BIER multicast layer, and unicast routing layer, optimizing the join and leave processes of multicast members. Experimental results show that compared with the traditional PIM-SM protocol, BIER-MNet demonstrates better stability and efficiency in multicast member join latency under different network link delays, verifying the effectiveness and feasibility of this mechanism.
The frame-based precoding oriented from the frame structure under the DVB-S2 standard for satellite communications leads to the multicast transmission in each user frame. This paper investigates the multicast-aware us...
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ISBN:
(数字)9781728190549
ISBN:
(纸本)9781728190556
The frame-based precoding oriented from the frame structure under the DVB-S2 standard for satellite communications leads to the multicast transmission in each user frame. This paper investigates the multicast-aware user framing/grouping problem to facilitate the frame-based precoding that demands users of high channel similarity in each group. We propose two alternative approaches to increase the intra-group channel similarity by taking into account the channels of all users already in the group when selecting the parallel users for it. One approach extracts the first principle component vector from the channel matrix constituted by current group members and uses it to measure the similarity to the ungrouped users for the selection of the next group member. The other one adds up the projections of the ungrouped user's channel to the channels of the current group members to measure the similarity. Numerical results demonstrate that the proposed two algorithms outperform a benchmark algorithm in various scenarios, verifying the effectiveness of exploiting the channel information of all group members to constitute multicast groups with high intra-group similarity.
The popularity of 360-degree video streaming has surged in recent years. However, delivering high-quality content with limited bandwidth poses a significant challenge, particularly in mobile delivery setups. Although ...
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ISBN:
(数字)9798350351255
ISBN:
(纸本)9798350351262
The popularity of 360-degree video streaming has surged in recent years. However, delivering high-quality content with limited bandwidth poses a significant challenge, particularly in mobile delivery setups. Although techniques like predicting a user’s Field of View (FoV) can improve streaming efficiency, multicasting offers a superior solution for delivering content to multiple users simultaneously. However, when users focus on different zones (FoV) in 360° videos, multicast streaming becomes difficult to implement effectively. To address this challenge, we propose in this paper a novel approach that leverages userspecific FoV prediction to dynamically adapt multicast streams. We propose a dynamic architecture that clusters users for optimized streaming based on their predicted FoV. This clustering leverages a DBSCAN-inspired algorithm that incorporates user head movement data. Users with similar FoV preferences are grouped, enabling transmission of only the relevant portions of the 360° video to each cluster. This significantly reduces bandwidth consumption compared to traditional per-user delivery, thus enhancing the overall Quality of Experience (QoE) for users.
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