Cognitive routing protocol for disaster-inspired Internet of Things

Ai-Turjman, Fadi
In this paper, we propose a framework for data delivery in large-scale networks for disaster management, where numerous wireless sensors are distributed over city traffic-infrastructures, shopping-malls' parking areas, airports' facilities, etc. In general, our framework caters for energy-efficient applications in the Internet of Things (IoT) where data is propagated via relays from diverse sensor-nodes 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 the routed packets in the targeted wireless sensor network. Our delivery approach considers resource limitations in terms of hop count, and remaining-energy levels. Extensive simulations are performed and achieved results confirm the effectiveness of the proposed approach in comparison to other baseline energy-aware routing protocols in the literature.


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...
Path planning for mobile-anchor based wireless sensor network localization: Static and dynamic schemes
Erdemir, Ecenaz; Tuncer, Temel Engin (Elsevier BV, 2018-08-01)
In wireless sensor networks, node locations are required for many applications. Usually, anchors with known positions are employed for localization. Sensor positions can be estimated more efficiently by using mobile anchors (MAs). Finding the best MA trajectory is an important problem in this context. Various path planning algorithms are proposed to localize as many sensors as possible by following the shortest path with minimum number of anchors. In this paper, path planning algorithms for MA assisted loca...
Modelling Green Femtocells in Smart-grids
Al-Turjman, Fadi M. (Springer Science and Business Media LLC, 2018-08-01)
On going demands to connect massive amounts of the heterogeneous mobile devices and data traffics make the mobile operators in desperate need to find energy-efficient solutions for coverage and real-time services. Accordingly, mobile femtocells are found to be a promising solution in the coming few decades. This paper presents energy-based analysis for mobile femtocells in Ultra-Large Scale (ULS) applications such as the smart-grid. The potential reduction of the consumed energy and service interruption due...
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. Ai-Turjman, “Cognitive routing protocol for disaster-inspired Internet of Things,” FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, pp. 1103–1115, 2019, Accessed: 00, 2020. [Online]. Available: