Resource Discovery Classification for Internet of Things: a Survey

Internet of things applications using RFID sensors are a challenging task due to the limited capacity of batteries. Thus, energy efficient updating and maintenance have become more critical design with RFID sensor network. This paper is dedicated to combine energy harvesting and maintenance, sensor network, and resource discovery to develop a rechargeable sensor energy maintenance scheme. To deal with key sensor nodes and low energy path maintenance, the proposed approach consists of the following:(1)key point energy maintenance for RFID sensor through multi-path similarity analysis;(2)path energy maintenance for RFID sink through energy resource discovery. Use case application and simulation results show that the proposed methods reduce key sensor nodes energy maintenance time and energy maintenance path length for sensor nodes energy updating and maintenance.

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A Novel Approach towards Resource Auto-Registration and Discovery of Embedded Systems Based on DNS

Electronics ◽

10.3390/electronics8040442 ◽

2019 ◽

Vol 8 (4) ◽

pp. 442 ◽

Cited By ~ 5

Author(s):

Khudoyberdiev ◽

Jin ◽

Kim

Keyword(s):

Internet Of Things ◽

Resource Constraints ◽

Internet Protocol ◽

Resource Discovery ◽

Essential Elements ◽

The Internet ◽

Domain Name ◽

Registration System ◽

Novel Approach ◽

The Internet Of Things

The Internet of Things (IoT) is expected to deliver a whole range of new services to all parts of our society, and improve the way we work and live. The challenges within the Internet of Things are often related to interoperability, device resource constraints, a device to device connection and security. One of the essential elements of identification for each Internet of Things devices is the naming system and addresses. With this naming system, Internet of Things devices can be able to be discoverable by users. In this paper, we propose the IoT resource auto-registration and accessing indoor services based on Domain Name System (DNS) in the Open Connectivity Foundation (OCF) environment. We have used the Internet of Things Platform and DNS server for IoT Resource auto-registration and discovery in the Internet Protocol version 4 (IPv4). An existing system called Domain Name Auto-Registration in Internet Protocol version 6 can be used for Internet of Things devices for auto-registration and resource discovery. However, this system is not acceptable in the existing internet networks, because the highest percentage of the networks on the Internet are configured in Internet Protocol version 4. Through the proposed auto-registration system, clients can be able to discover the resources and access the services in the OCF network. Constrained Application Protocol (CoAP) is utilized for the IoT device auto-registration and accessing the services in the OCF network.

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A Comprehensive Survey on Resource Management in Internet of Things

Journal of Telecommunications and Information Technology ◽

10.26636/jtit.2020.145220 ◽

2020 ◽

Vol 4 ◽

pp. 27-43

Author(s):

Lokesh B Bhajantri ◽

Gangadharaiah S.

Keyword(s):

Resource Management ◽

Internet Of Things ◽

Resource Discovery ◽

Future Research ◽

The Internet ◽

Management Processes ◽

Efficient Resource ◽

Comprehensive Survey ◽

The Individual ◽

The Internet Of Things

Efficient resource management is a challenging task in distributed systems, such as the Internet of Things, fog, edge, and cloud computing. In this work, we present a broad overview of the Internet of Things ecosystem and of the challenges related to managing its resources. We also investigate the need for efficient resource management and the guidelines given/suggested by Standard Development Organizations. Additionally, this paper contains a comprehensive survey of the individual phases of resource management processes, focusing on resource modeling, resource discovery, resource estimation, and resource allocation approaches based on performance parameters or metrics, as well as on architecture types. This paper presents also the architecture of a generic resource management enabler. Furthermore, we present open issues concerning resource management, pointing out the directions of future research related to the Internet of Things.

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