2 research outputs found
A New Hybrid Method of IPv6 Addressing in the Internet of Things
Humans have always been seeking greater control over their surrounding
objects. Today, with the help of Internet of Things (IoT), we can fulfill this
goal. In order for objects to be connected to the internet, they should have an
address, so that they can be detected and tracked. Since the number of these
objects are very large and never stop growing, addressing space should be used,
which can respond to this number of objects. In this regard, the best option is
IPv6. Addressing has different methods, the most important of which are
introduced in this paper. The method presented in this paper is a hybrid
addressing method which uses EPC and ONS IP. The method proposed in this paper
provides a unique and hierarchical IPv6 address for each object. This method is
simple and does not require additional hardware for implantation. Further, the
addressing time of this method is short while its scalability is high, and is
compatible with different EPC standards
A survey on subjecting electronic product code and non-ID objects to IP identification
Over the last decade, both research on the Internet of Things (IoT) and
real-world IoT applications have grown exponentially. The IoT provides us with
smarter cities, intelligent homes, and generally more comfortable lives.
However, the introduction of these devices has led to several new challenges
that must be addressed. One of the critical challenges facing interacting with
IoT devices is to address billions of devices (things) around the world,
including computers, tablets, smartphones, wearable devices, sensors, and
embedded computers, and so on. This article provides a survey on subjecting
Electronic Product Code and non-ID objects to IP identification for IoT
devices, including their advantages and disadvantages thereof. Different
metrics are here proposed and used for evaluating these methods. In particular,
the main methods are evaluated in terms of their: (i) computational overhead,
(ii) scalability, (iii) adaptability, (iv) implementation cost, and (v) whether
applicable to already ID-based objects and presented in tabular format.
Finally, the article proves that this field of research will still be ongoing,
but any new technique must favorably offer the mentioned five evaluative
parameters.Comment: 112 references, 8 figures, 6 tables, Journal of Engineering Reports,
Wiley, 2020 (Open Access