A Cognitive Routing Protocol for Bio-Inspired Networking in the Internet of Nano-Things (IoNT)

Al-Turjman, Fadi
In this paper, we propose a framework for data delivery in nano-scale networks, where numerous wireless sensors are distributed on a human body, small object, tiny plant root, etc. Our framework caters for green energy-efficient applications in the Internet of Nano Things (IoNT) where data is relayed via nano-routers from a multifarious nanonodes towards a gateway connected to a large-scale network such as the Internet. We consider the entire network energy while choosing the next hop for our routed packets in the targeted wireless nanosensor network. Our delivery approach considers resource limitations in terms of hop count, and remaining energy levels. Moreover, extensive simulations are performed and the results confirm the effectiveness of the proposed approach in comparison to other baseline energy-aware routing protocols.


A rational data delivery framework for disaster-inspired internet of nano-things (IoNT) in practice
Al-Turjman, Fadi (Springer Science and Business Media LLC, 2019-01-01)
In this paper, we put forward a data delivery framework in nano-scale systems, where a number of nanosensors are disseminated over tiny areas such as small objects, plant roots, human bodies and the likes to help in disaster management. For our considered system, data is dispatched from varied subsystems through a nano-router, towards a gateway connected to a much larger system such as the Internet. Consequently, this makes our system suitable to be used for nano-scale disaster-inspired applications in the ...
A temporal neural network model for constructing connectionist expert system knowledge bases
Alpaslan, Ferda Nur (Elsevier BV, 1996-04-01)
This paper introduces a temporal feedforward neural network model that can be applied to a number of neural network application areas, including connectionist expert systems. The neural network model has a multi-layer structure, i.e. the number of layers is not limited. Also, the model has the flexibility of defining output nodes in any layer. This is especially important for connectionist expert system applications.
Cognitive-Node Architecture and a Deployment Strategy for the Future WSNs
Al-Turjman, Fadi (Springer Science and Business Media LLC, 2019-10-01)
The advent of sensing and communication technologies represents the next step in the evolution of wireless sensor networks (WSNs) and future applications. Future WSNs systems demand that connected devices could be able to work autonomously, while surfing on-line generated data and process them for self-decision making. Accordingly, we propose a cognitive Information-Centric Sensor Network (ICSN) framework. The fundamentals of cognition in ICSN can be recognized as a promising direction in addressing opportu...
A Wireless Vehicle-based mobile network infrastructure designed for smarter cities
Quer, Giorgio; Aktas, Tugcan; Librino, Federico; Javidi, Tara; Rao, Ramesh R. (Elsevier BV, 2019-03-15)
The evolution of smart city services and applications requires a more efficient wireless infrastructure to provide the needed data rate to users in a high-density environment with high mobility, satisfying at the same time the request for high-connectivity and low-energy consumption. To address the challenges in this new network scenario, we propose to opportunistically rely on the increasing number of connected vehicles in densely populated urban areas. The idea is to support the macro base station (BS) wi...
SWARM-based data delivery in Social Internet of Things
Hasan, Mohammed Zaki; Al-Turjman, Fadi (Elsevier BV, 2019-03-01)
Social Internet of Things (SIoTs) refers to the rapidly growing network of connected objects and people that are able to collect and exchange data using embedded sensors. To guarantee the connectivity among these objects and people, fault tolerance routing has to be significantly considered. In this paper, we propose a bio-inspired particle multi-swarm optimization (PMSO) routing algorithm to construct, recover and select k-disjoint paths that tolerates the failure while satisfying quality of service (QoS) ...
Citation Formats
F. Al-Turjman, “A Cognitive Routing Protocol for Bio-Inspired Networking in the Internet of Nano-Things (IoNT),” MOBILE NETWORKS & APPLICATIONS, pp. 1929–1943, 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/63747.