Resource discovery and share mechanism in disconnected ubiquitous stub network

Yan-fu, Jiang; Guo, Shaoyong; Xu, Siya; Qiu, Xuesong; Li, Meng

doi:10.1109/noms.2018.8406177

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…Much research has been conducted on resource indexing. Mohamed Y Elmahi et al [9] showed a survey in which resource discovery techniques were classified into different categories: (i) protocol-based, in which protocols are used to find the appropriate device, such as CoAP [10,11], SSDP [12], TRENDY [13], and DNSNA [14], which mainly rely on the domain name system DNS; (ii) architecture-based, where different architectures were discussed, such as centralized [15], distributed [16], and hybrid [17]; (iii) semantic approaches, where devices are represented and grouped depending on their knowledge, such as in [18,19]; (iv) location-based, which focuses on the device discovery in a local area, such as in [20] (smart homes for example), or a remote area for larger environments, such as in [21]; and (v) clustering-based, which builds communities or groups by connecting and linking resources, such as in [22,23].…”

Section: Indexing Overviewmentioning

confidence: 99%

Resource Indexing and Querying in Large Connected Environments

Achkouty,

Chbeir,

Gallon

et al. 2023

Future Internet

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The proliferation of sensor and actuator devices in Internet of things (IoT) networks has garnered significant attention in recent years. However, the increasing number of IoT devices, and the corresponding resources, has introduced various challenges, particularly in indexing and querying. In essence, resource management has become more complex due to the non-uniform distribution of related devices and their limited capacity. Additionally, the diverse demands of users have further complicated resource indexing. This paper proposes a distributed resource indexing and querying algorithm for large connected environments, specifically designed to address the challenges posed by IoT networks. The algorithm considers both the limited device capacity and the non-uniform distribution of devices, acknowledging that devices cannot store information about the entire environment. Furthermore, it places special emphasis on uncovered zones, to reduce the response time of queries related to these areas. Moreover, the algorithm introduces different types of queries, to cater to various user needs, including fast queries and urgent queries suitable for different scenarios. The effectiveness of the proposed approach was evaluated through extensive experiments covering index creation, coverage, and query execution, yielding promising and insightful results.

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Section: Indexing Overviewmentioning

confidence: 99%

Resource Indexing and Querying in Large Connected Environments

Achkouty,

Chbeir,

Gallon

et al. 2023

Future Internet

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“…To locate and discover resources in a mobile ad hoc network, Saghian and Ravanmehr 66 use DHT and fault‐tolerant technology; this architecture can manage resources, Quality of Service, load balancing, and prioritization requests 67 . However, resource sharing in disconnected topology is not deeply addressed.…”

Section: Service Discovery and Cluster‐based Routing Protocolsmentioning

confidence: 99%

Service redundancy and cluster‐based routing protocols for wireless sensor and mobile ad hoc networks: A survey

Yagoub

Rodrigues

Khalifa

et al. 2020

Int J Communication

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SummaryService discovery (SD) is the cornerstone of wireless and mobile systems. The discovery of effective service is the key to achieve a higher level of ubiquity, which ensures the availability of services to users and applications significantly, and the high use of services. The research in this field is limited, with a few SD protocols available for specific purposes specified in the 6LoWPAN region. This paper discusses the various issues and challenges facing the design and selection of the appropriate service discovery and cluster‐based mechanism. Moreover, attention has been drawn to the cross‐layer solution by discussing different clustering techniques used to solve the redundancy problems. Furthermore, the service discovery protocols and cluster‐based routing protocols are critically investigated considering the redundancy problem, methods, mechanisms, and architectures by categorizing them into different categories, comparing them with fundamental parameters in the WSNs and MANETs environments. In addition, a modern form is proposed to show the life cycle of the service discovery process, and a new figure has been designed to clarify to the researchers various of the open issues related to the service discovery and cluster‐based routing protocols, corresponding objectives and the techniques of solving problems. Through the discussion of the scientific papers under survey, important results and valuable recommendations were reached. The survey is concluded with a summary, open research issues, outlook, and directions for future research on the topic.

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Social Internet of Things: a novel selection approach for dynamic resources substitution

Metrouh

2021

Evol. Intel.

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Resource discovery and share mechanism in disconnected ubiquitous stub network

Cited by 4 publications

References 14 publications

Resource Indexing and Querying in Large Connected Environments

Resource Indexing and Querying in Large Connected Environments

Service redundancy and cluster‐based routing protocols for wireless sensor and mobile ad hoc networks: A survey

Social Internet of Things: a novel selection approach for dynamic resources substitution

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