Observer‐based distributed control of large‐scale systems under gossip communication protocol

Yu, Tao; Yu, Lanlin; Xiong, Junlin

doi:10.1002/asjc.2502

Cited by 4 publications

(2 citation statements)

References 35 publications

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“…Thus, gossip protocols are mainly used as consensus protocols between neighbors [11], [34], [35]. In addition to blockchain-specific proposals, the distributed nature of modern computing paradigms, such as in 6G, has stimulated a revival of gossip as (i) randomized consensus protocol in more general contexts promoting fundamental research [36]- [38], and (ii) technology to efficiently monitor systems on a large scale [39].…”

Section: Related Workmentioning

confidence: 99%

Gossip-Based Monitoring Protocol for 6G Networks

Femminella

Reali

2023

IEEE Trans. Netw. Serv. Manage.

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The service function (SF) area has gained increasing attention in the last years due its ability to combine the advantages of cloud computing with network softwarization. By decoupling SFs from the physical equipment where they are executed, it is possible to make network services scalable and flexible. These advantages become even more evident in the forthcoming 6G networks, where the overall environment is expected to become more dynamic and cloud-based, with SFs deployed as cloud-native functions. However, in order to efficiently manage and compose services using these SFs, it is necessary to monitor the available resources of the nodes where they can be deployed, in addition to exchange information relevant to the operational status of active SFs. To this aim, we propose a lightweight monitoring architecture by using agents in charge of monitoring the status of SFs running in co-located clusters. These monitoring agents exchange their information by means of a gossip protocol, which allows increasing the reliability of the process. In this way, it is possible to keep service decisions as local as possible, limiting the interactions with centralized decision and orchestration platforms, and thus increasing network scalability and responsiveness. Performance evaluation shows the effectiveness of the proposed solution, and demonstrates that the network overhead of the distributed monitoring process is definitely affordable.

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Section: Related Workmentioning

confidence: 99%

Gossip-Based Monitoring Protocol for 6G Networks

Femminella

Reali

2023

IEEE Trans. Netw. Serv. Manage.

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“…Lu et al [6] pointed out that large‐scale multiple‐input multiple‐output systems have important applications in fifth‐generation wireless communication. More results about the applications of the large‐scale system can be seen in [7–10] and references therein.…”

Section: Introductionmentioning

confidence: 99%

Team optimal decentralized estimation by multiple agents with partial history sharing information structure

Liu

Zhang

2023

Asian Journal of Control

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In this paper, we study the team optimal decentralized estimation with partial history sharing information structure. There exist agents that have their own observations and share partial history observations to each other. The main contributions include two aspects: One is to give the iterative equations of the common estimation, which is the conditional expectation of state with respect to the common information for all agents and the innovation of the local information for each agent; the other is to provide the structure of the team optimal decentralized estimation, that is, the linear combination of the common estimation and the innovation of the local information. The novelty lies in that the estimation can be obtained at one time by defining an augmented state. In particular, the result is reduced to the well‐known centralized estimation when all the information is sharing for all the agents.

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A novel scheme based on coarse‐grained localization and fine‐grained isolation for defending against Sybil attack in low power and lossy networks

Tong

Zhang

Zhu

et al. 2023

Asian Journal of Control

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Due to the lack of security mechanisms and sensor resources, the IPv6 Routing Protocol for Low power and Lossy networks (RPL) is vulnerable to various attacks, among which Sybil attack has received a lot of attention. This paper proposes a novel scheme based on coarse‐grained localization and fine‐grained isolation (CLFI) for defending Sybil attack. In CLFI, normal neighbor nodes are identified based on received signal strength indicator (RSSI). To further identify Sybil nodes, a physical address identifier called is defined, which is calculated as the difference of RSSI at two different receivers when they are receiving the same packet. In order to facilitate the calculation of , a set of anchor nodes are deployed to broadcast the received RPL control packets. Then Sybil behaviors can be detected by comparing the physical address identifier with the logical address embedded in the received packets. The proposed CLFI scheme has been completely implemented in the Contiki operating system. The extensive evaluation in comparison with the state‐of‐the‐art scheme indicates that CLFI can quickly localize and isolate Sybil nodes.

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Observer‐based distributed control of large‐scale systems under gossip communication protocol

Cited by 4 publications

References 35 publications

Gossip-Based Monitoring Protocol for 6G Networks

Gossip-Based Monitoring Protocol for 6G Networks

Team optimal decentralized estimation by multiple agents with partial history sharing information structure

A novel scheme based on coarse‐grained localization and fine‐grained isolation for defending against Sybil attack in low power and lossy networks

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