Constructing Virtual Backbones over Low-Cost Wireless Networks for Smart Tourism Services

Zervopoulos, Alexandros; Skiadopoulos, Konstantinos; Giannakis, Konstantinos; Οικονόμου, Κωνσταντίνος; Komianos, Vasileios; Tsoumanis, Georgios

doi:10.1109/iisa.2019.8900750

Cited by 7 publications

(5 citation statements)

References 29 publications

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“…A recent study presented in [5] thoroughly describes the installation and implementation of a prototyping testbed, while taking into consideration environmental parameters that may affect the connectivity of the resulting network topology. The current work further extends the implementation and capabilities of this particular testbed, the soundness of which has been proven in earlier studies [38][39][40].…”

Section: Past Related Workmentioning

confidence: 55%

“…The network's topology is likely to incur changes as link quality can fluctuate based on environmental conditions, which was studied in previous work [5]. Due to this fact, only one particular topology instance is examined and presented here, but do note that most of the topology alterations, which have been observed in previous experiments [38][39][40], occur in the links between nodes on the network's outskirts. Additionally, as far as applications are considered, neighbor discovery processes should be employed, since the XBee module's Network Discovery (ND) process generally provides asymmetric links, and, from the authors' view, is unreliable in certain cases.…”

Section: Topology Configurationmentioning

confidence: 98%

“…An undirected graph G(V, E), where V denotes the set of nodes and E the links among them, may be formed from the particular topology instance so as to formulate graph theoretic concepts, which might be of use when designing and analysing applications. Thus, the network comprises |V| = 25 nodes and |E| = 72 links among them, derived from the neighbor discovery presented in [38][39][40], so as to provide reliable symmetric links. The adjacency matrix of the resulting topology is depicted in Table 4.…”

Section: Topology Configurationmentioning

confidence: 99%

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CaBIUs: Description of the Enhanced Wireless Campus Testbed of the Ionian University

et al. 2020

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Technological evolution and in particular the development of the Internet of Things (IoT) has paved the way for material prosperity and a better standard of living. A critical factor in the effectiveness of emerging IoT applications, which heavily rely on sensor information flow, is the development of a functional and efficient Wireless Sensor Network. Additionally, the levels of automation are conducive to usability and time efficiency by reducing the need for human intervention, as well as increasing the rate at which experiments can be carried out. In current work, an already installed infrastructure on the Ionian University campus is considered and enhanced, with the goal of elevating accessibility and user-friendliness, by designing a web platform. The presented platform enables the remote development, execution and monitoring of simple but necessary network-based algorithms using a custom language, without requiring code to be uploaded to remote nodes. As a proof of concept, three information dissemination algorithms are implemented and provided as example templates for users, promoting simultaneously ease of use.

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Section: Past Related Workmentioning

confidence: 55%

Section: Topology Configurationmentioning

confidence: 98%

Section: Topology Configurationmentioning

confidence: 99%

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CaBIUs: Description of the Enhanced Wireless Campus Testbed of the Ionian University

et al. 2020

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“…In addition, 5G networking is designed to support highly interactive applications with low latency and high throughput requirements [56], and will enable mobile VR/AR applications [57]. SDNs are also designed to support end-to-end support of Quality of Service (QoS) [58] while other approaches, e.g., virtual backbone networks [59] or distributed cluster-based load balancing methods [60], aim at provisioning network services specifically tailored to the requirements of each application setting independently of user proportionality or workload fluctuations.…”

Section: Cloud/fog Computing and Real-time Networked Environmentsmentioning

confidence: 99%

A Framework for Exploring Churches/Monuments/Museums of Byzantine Cultural Influence Exploiting Immersive Technologies in Real-Time Networked Environments

2021

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The unique art that was developed in Byzantine times is widely accepted as a precursor to the Renaissance and is still evident in monuments either from or influenced by the Byzantium. Visiting such a site is a unique experience due to the lavishly painted interior for both tourists and scholars. Taking advantage of the emerging 5G technologies, cloud/fog computing, and Augmented/Mixed Reality mechanisms, a common smart device (e.g., smartphone, tablet) could be employed to give a better experience to the end-users. The proposed framework is intended to provide visitors with interpretative information regarding the visited monuments and their paintings. Under the framework introduced in this paper, camera input is uploaded to a cloud/fog computing infrastructure where appropriate algorithms and services provide monument and painting recognition and the mobile application retrieves and projects the related information. In addition, the designed immersive user interfaces assist visitors in contributing in cases of monuments and paintings for which no available information exists. This paper presents the state of the art in approaches for immersive experiences in Digital Culture, reviews the current image recognition approaches and their suitability for Byzantine paintings, proposes interaction techniques appropriately designed for observation and interaction of paintings, and discusses the overall framework architecture that is needed to support the described functionality while stressing the challenging issues of the above aspects thus paving the road for future work and providing guidelines for a test-bed implementation.

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“…Nowadays, a new wireless sensor network (WSN) is wide spread all over the world and it is used as attractive field of research due to its great prospective for extensively progress in real time flood disaster monitoring 1,2 . In WSN, concerning with disaster monitoring has its own advantages, some of them related to low cost, flexibility, scalability and in addition to the capricious natural disasters time, it restrict and distributes the appropriate information to the corresponding sensor nodes with slightest delay 3–5 . All the desires are needed during disaster monitoring process in WSN for assorted process and practice 6,7 .…”

Section: Introductionmentioning

confidence: 99%

Real time flood disaster monitoring based on energy efficient ensemble clustering mechanism in wireless sensor network

Wilson

Radhamani²

2021

Softw Pract Exp

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In this article, energy efficient ensemble clustering method (EECM) with black widow optimization (EECM‐BWO) algorithm is proposed for effective data transmission with the help of real time flood disaster monitoring wireless sensor network (WSN). Initially, unified scalable ensemble clustering algorithm based on ensemble generation and consensus function is proposed for selecting the optimal routing path among the node using BWO algorithm. Then, biologically inspired routing black widow spiders optimization algorithm is proposed to trade off the nodes energy level, self‐organization, and self‐configuration in the WSN. The simulation is performed using NS2 simulator for validating the performance of the proposed EECM‐BWO method. Here, in node, low delay achieves 24.07%, 72.58%, 51.36%, 81.75%, 77.74%, high packet delivery ratio achieves 70.83%, 53.93%, 90.23%, 43.58%, 24.58%, low packet drop attains 77.93%, 72.76%, 61.56%, 51.87%, 34.35%, low energy consumption attains 75.9%, 52.94%, 65.81%, 58%, 41.2% compared with existing energy‐efficient clustering approach consolidated game theory as well as dual‐cluster‐head mode for WSNs energy‐aware clustering by cuckoo optimization approach (EECM‐COA), energy‐aware clustering‐based routing using multi‐path reliable transmission with routing and control board (EECM‐RCB‐MRT), adaptive repair algorithm with temporally ordered routing algorithms for flood control strategy (EECM‐AR‐TORA‐FCS), passive multi‐hop clustering algorithm (EECM‐PMC), dynamic source routing protocol based on genetic algorithm‐bacterial foraging optimization (DSR‐GA‐BFO).

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Constructing Virtual Backbones over Low-Cost Wireless Networks for Smart Tourism Services

Cited by 7 publications

References 29 publications

CaBIUs: Description of the Enhanced Wireless Campus Testbed of the Ionian University

CaBIUs: Description of the Enhanced Wireless Campus Testbed of the Ionian University

A Framework for Exploring Churches/Monuments/Museums of Byzantine Cultural Influence Exploiting Immersive Technologies in Real-Time Networked Environments

Real time flood disaster monitoring based on energy efficient ensemble clustering mechanism in wireless sensor network

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