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The current IoT ecosystem is Cloud centric which can not handle a diverse set of IoT applications and services, especially those demanding real time response. This paper proposes an Edge Computing (EC) architecture that provides an intermediate computing layer for IoT data. The proposed architecture utilizes Virtual IoT Devices (VID) for local data processing, management of physical IoT devices and...
During recent years, we have witnessed an explosion in the Internet of Thing (IoT) in terms of the number and types of physical devices. However, there are many limitations of these devices regarding their computing power, storage, and connection capabilities. They affect on-device processing of sensed data significantly. Centralized treatment of IoT data has proven challenging for many use cases...
Industrial Internet of Thing (IIoT) promises a lot of positive impacts on manufacturing, process transformation and digital value acceleration. IIoT is considered to have the potential to launch fourth industrial revolution and related economies. However, since IIoT is at its early stage, its benefits are limited to connected devices and open data sources to enrich the measurements and analysis. In...
The connected road infrastructure and roadside assistance services constitute an important consumer market segment in the Intelligent Transportation System (ITS) and Smart Cities. A closer look at available such services reveal the presence of data silos, heterogeneity and lack of interoperability. They affect the overall consumer experience and increase the cost of service development & maintenance...
With the introduction of smartphones, cloud and edge computing, and mobile Internet, the automotive ecosystem is shifting toward the Internet of Vehicles (IoV). This article looks at the evolution leading to the IoV and identifies related research and engineering challenges, including 1) coexistence of cloud, edge computing, and data caching strategies at the edge; 2) integration of data processing...
Mobile Edge Computing (MEC) consists of deploying computing resources (CPU, storage) at the edge of mobile networks; typically near or with eNodeBs. Besides easing the deployment of applications and services requiring low access to the remote server, such as Virtual Reality and Vehicular IoT, MEC will enable the development of context-aware and context-optimized applications, thanks to the Radio API...
Content Centric Networking (CCN) is an important aspect of the Future Internet Architecture. CCN investigates the evolution from current host-centric network architecture of IP to data centric networking architecture. This paper aims at demonstrating the integration of Named Data Networking (NDN) mechanism, an instantiation of CCN, in previously developed DataTweet Internet of Things (IoT) architecture...
Current IoT application development frameworks have limited capabilities. There is a lack of horizontal development approach, interoperability with standards, adequate security mechanisms, integration of information centric networking among others. The paper counters the challenges using a novel DataTweet IoT application development framework. It decouples application logic (AL) from common IoT functionalities...
Multipoint Relaying (MPR) is a technique to reduce the number of redundant retransmissions while diffusing a broadcast message in the network, where only a subset of nodes are allowed to forward packets. The selection is based on instantaneous nodes’ degrees, and is periodically refreshed. We propose in this chapter a novel heuristic to select kinetic multipoint relays based on nodes’ overall predicted...
The Internet of Things (IoT) ecosystem can immensely benefit from the Named Data Networking (NDN) paradigm. But interworking between the two paradigms is often challenged due to their intrinsic features. This paper attempts to identify the challenges, proposes their solutions to highlight the interworking of NDN with previously developed DataTweet IoT architecture elements. Our main contribution is...
Security and privacy are two of the most important aspects driving the consumer adoption of the Internet of Things (IoT) based products. In our previous works, we have introduced a data-driven IoT architecture known as DataTweet. This paper examines how to secure DataTweet IoT architecture elements. The contribution of the paper is in - (i) introducing a security framework into DataTweet IoT architecture...
Semantic Web of Things is a new field combining Semantic Web and Internet of Things technologies to be surrounded by smart objects and applications connected to the Web. On one hand, one of the Linked Open Data applications, called DataHub aims at referencing datasets, on the other hand, the Linked Open Vocabularies (LOV) references more than 400 ontologies. However, we discovered that more than 200...
Ontology-based applications are becoming more and more popular and are usually domain-specific (e.g., eHealth or domotic). Designing ontologies and semantic-based applications manually is tedious and cumbersome for non-technical expert or semantic web beginners. Internet of Things (IoT) is a new field aiming to connect the physical world surrounded by devices such as sensors to the web to automatically...
Maximum-likelihood (ML) receivers are optimum receivers for MIMO systems, but their complexity grows exponentially with the modulation order of the codeword and the number of spatial layers. The Reduced Complexity ML (R-ML) receivers based on low complexity adaptation of the max-log MAP detector and reduction of searching space are a good compromise to satisfy complexity-performance trade-off. In...
Handover procedure in LTE/LTE-A has been radically evolved when compared to the previous 3GPP standards. In particular, X2 handover is introduced to allow neighboring eNBs to handle the user mobility without the involvement of the core network. While most of the application could considerably benefit from the X2 handover performance improvement, delay breakdown and impact of parameters from the UE...
Vehicles are becoming the next frontiers for Internet of Things (IoT) based platforms and services. Connected vehicles, Intelligent Transportation Systems (ITS) together with IoT technologies have the potential of unleashing efficient and more sustainable transportation system which is fast becoming an important societal challenge. This paper formulates several main research and engineering challenges...
The futuristic smart cities must have the capabilities to withstand the growing challenges on the urban infrastructure in terms of public safety, resource management, co-operative mobility management and more. To tackle these challenges, the cities are increasingly using next generation information and communication technologies (ICT). A plethora of the ICT based innovations are taking place on a...
The Internet of Things (IoT) is different than the traditional Internet due to factors including (i) massive number of resource constrained devices, (ii) huge volume of small data exchange among physical things, (iii) autonomous configuration and management aspects and (iv) support for mobility. Named Data Networking (NDN) supports them natively and provides excellent mechanism for content retrieval...
This work proposes a data driven IoT architecture to mitigate the fragmentation and data silos in consumer IoT ecosystem. IoT data cycle is explored to understand data transformation from generation to processing, storage and dissemination. We have developed a framework called DataTweet focusing on data cycle based IoT services. The DataTweet architecture is presented along with its subsystems, services,...
Efficient mechanism for describing the physical things is necessary for automatic configuration and management in the Internet of Things (IoT) ecosystem. This paper highlights an evolution in Thing Description (TD) from CoRE Link Format to semantic based descriptions. Adding semantics enable sensors and actuators to be represented in terms of events, properties and actions. This provides further granularity...
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