IDSA: Chord-Based Discovery Service Architecture for the Internet of Things

2013 ◽  
Vol 753-755 ◽  
pp. 2816-2820
Author(s):  
De Gang Xu ◽  
Lei Hua Qin ◽  
Jing Li Zhou

Nowadays, the item-level lookup is quickly becoming a key issue in many application scenarios of Internet of Things (IoT). However, as a critical role of IoT, current lookup services and discovery services rely on a centralized or a chain-style framework, thus have some drawbacks, which prevent them from being widely adopted, as well as the item-level lookup service is still missing. Therefore, based on Chord, we presented IDSAa distributed item-level discovery service architecture for IoT, gave its basic framework and some relevant mechanisms to make the lookup services more load-balanced, scalable, and efficient. Additionally, some tests and analysis were given to validate and evaluate our solution. The results show that our solution is available.

2013 ◽  
Vol 411-414 ◽  
pp. 625-628
Author(s):  
De Gang Xu ◽  
Lei Hua Qin ◽  
Jing Li Zhou

In the emerging Internet of Things (IOT), lookup service or discovery service plays a critical role, however, current lookup services and discovery services of IoT have not been widely adopted due to some drawbacks or bottlenecks, as well as the item-level lookup service is still missing, moreover, enhancing security and privacy protection does not get enough attention. Therefore, based on the object discovery service architecture (ODSA) a distributed serial number level object discovery service architecture using Chord for the IOT, a security-based application level lookup protocol was provided to enhance the overall security and privacy protection for ODSA. Additionally, some analysis and discussion were given to validate and evaluate our solution. The results show that our solution is available.


2020 ◽  
Vol 5 (1) ◽  
pp. 176-187
Author(s):  
Vahid Zeynvand Lorestani

This research aims to investigate the critical role of the Internet of Things in the future of industries’ progress. For this purpose, a survey of 250 top managers across 13 industries has conducted. The objective was to find their view of point about what short and mega trends, in which sector will have the most considerable influence in the five years as well as 30 years ahead. Moreover, various technologies are also identified that will have the most importance in the future according to the majority of the respondents, such as Internet of things, Automation and Artificial Intelligence, and, on the other hand, the segments that capital expenditure is currently being directed towards, such as Energy Efficiency and Personalisation of Services.


2013 ◽  
Vol 73 (4) ◽  
pp. 1455-1476 ◽  
Author(s):  
De-Gang Xu ◽  
Lei-Hua Qin ◽  
Jong-Hyuk Park ◽  
Jing-Li Zhou

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Bambang Widagdo ◽  
Mochamad Rofik

The economic diversification concept gives hope for a country with rich natural resources to strengthen its economic basis. Thus industrial revolution era of 4.0 provides great opportunity to fasten the process. A study by McKensey in 2011 proved that the internet in the developing country contributes around 3.4% towards its GDP which means that the internet has become a new hope for the economy in the future. Indonesia is one of the countries that is attempting to maximize the role of the Internet of Things (IoT) for its economic growth.� The attempt has made the retail and tourism industries as the two main sectors to experience the significant effect of IoT. In the process of optimizing the IoT to support the economic growth, Indonesia faces several issues especially in the term of the internet network quality and its distribution, the inclusive access of financial access and the infrastructure


2020 ◽  
Author(s):  
Navod Neranjan Thilakarathne ◽  
Mohan Krishna Kagita ◽  
Thippa Reddy Gadekallu

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Federica Paganelli ◽  
David Parlanti

Current trends towards the Future Internet are envisaging the conception of novel services endowed with context-aware and autonomic capabilities to improve end users’ quality of life. The Internet of Things paradigm is expected to contribute towards this ambitious vision by proposing models and mechanisms enabling the creation of networks of “smart things” on a large scale. It is widely recognized that efficient mechanisms for discovering available resources and capabilities are required to realize such vision. The contribution of this work consists in a novel discovery service for the Internet of Things. The proposed solution adopts a peer-to-peer approach for guaranteeing scalability, robustness, and easy maintenance of the overall system. While most existing peer-to-peer discovery services proposed for the IoT support solely exact match queries on a single attribute (i.e., the object identifier), our solution can handle multiattribute and range queries. We defined a layered approach by distinguishing three main aspects: multiattribute indexing, range query support, peer-to-peer routing. We chose to adopt an over-DHT indexing scheme to guarantee ease of design and implementation principles. We report on the implementation of a Proof of Concept in a dangerous goods monitoring scenario, and, finally, we discuss test results for structural properties and query performance evaluation.


2021 ◽  
Vol 10 (2) ◽  
pp. 88-106
Author(s):  
Gillian Harrison ◽  
Simon P. Shepherd ◽  
Haibo Chen

Connected and automated vehicle (CAV) technologies and services are rapidly developing and have the potential to revolutionise the transport systems. However, like many innovations, the uptake pathways are uncertain. The focus of this article is on improving understanding of factors that may affect the uptake of highly and fully automated vehicles, with a particular interest in the role of the internet of things (IoT). Using system dynamic modelling, sensitivity testing towards vehicle attributes (e.g., comfort, safety, familiarity) is carried out and scenarios were developed to explore how CAV uptake can vary under different conditions based around the quality of IoT provision. Utility and poor IoT are found to have the biggest influence. Attention is then given to CAV ‘services' that are characterized by the attributes explored earlier in the paper, and it is found that they could contribute to a 20% increase in market share.


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