Evaluating the feasibility of random waypoint model for indoor wireless networks

Shao, Sihua; Khreishah, Abdallah; Ayyash, Moussa

doi:10.1002/itl2.214

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…Also, the number of users, randomly moving inside the available areas, varies from 10 to 100. To simulate people movement inside, we adopted a custom version of a common mobility model typical of these scenarios, namely the Random Waypoint Mobility Model [72]. It generates shifts according to the following strategy.…”

Section: Methodsmentioning

confidence: 99%

Anonymous Access Monitoring of Indoor Areas

2021

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Video surveillance of public spaces is a feature of modern society that has expanded quite quickly and in a pervasive way during the last decades becoming a fundamental need for both individual and collective security. But, as the sophistication of this type of systems increases, the concern about threat to individuals' right of privacy raises as well. Indeed, the video surveillance systems could breach personal privacy because location is clearly one of the most sensitive people information. Hence, preserving location privacy while achieving utility from it, is a challenging problem demanding the investigation of researchers. This paper tackles this non-trivial issue by designing a novel privacy-preserving architecture able to anonymously monitoring people access at the entrance of critical areas in an indoor space. At the same time our approach is able to provide full accountability in case of an accident or a legal requirement. Interestingly, our protocol is robust to server-side attacks and is efficient enough to be applied indoors through a set of IoT (Internet of Things) smart camera devices.

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Section: Methodsmentioning

confidence: 99%

Anonymous Access Monitoring of Indoor Areas

2021

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“…, ( 5), ( 6), ( 7), ( 8), ( 9), ( 10), ( 11), ( 12), ( 14), ( 15), ( 16), ( 17), ( 18), ( 19), ( 20), ( 21), ( 22), ( 24), ( 25), ( 26), ( 27), (30), (31), (32), (33), (34), (35), (36), (37), (38), (41), (42), (43), (46), ∀i ∈ N :…”

Section: B R-nsm: Resource Relocation Aware Network Service Managemen...unclassified

Toward Enabling Network Slice Mobility to Support 6G System

Bagaa

Dutra

Taleb

et al. 2022

IEEE Trans. Wireless Commun.

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Even a wider set of highly critical and latencysensitive applications with resource needs from the access network and the edge will be supported by the 6G networks. Therefore, the 6G network will deal with diversification of service platforms. Optimizing the resource consumption of network slicing on top of a shared infrastructure will become essential to keep the operating costs on an acceptable level. Each vertical, e.g., eMBBPlus, BigCom, holographic and tactile communications can run on top of network slice with specific KPIs. Different verticals can have contradicting requirements running on top of the same infrastructure. This paper investigates the orchestration of network services within a federated end-to-end network slice, which may span over multiple cloud domains as expected to be a common scenario in 6G deployments. We introduce three optimization solutions that consider two conflicting objectives, the end-to-end delay and service relocation, for orchestrating network slice. While the first solution optimizes the end-toend delay, the second solution optimizes the service relocation. Meanwhile, the third solution leverages the bargaining game theory for achieving optimal Pareto fair trade-off configuration to optimize both objectives. The simulation results demonstrate the efficiency of the proposed solutions to achieve their main design goals

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Evaluating the feasibility of random waypoint model for indoor wireless networks

Cited by 2 publications

References 13 publications

Anonymous Access Monitoring of Indoor Areas

Anonymous Access Monitoring of Indoor Areas

Toward Enabling Network Slice Mobility to Support 6G System

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