Cognitive-Node Architecture and a Deployment Strategy for the Future WSNs

Date

2019-10-01

Author

Al-Turjman, Fadi

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

252
views

0
downloads

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 opportunities and challenges posed by the needs of WSNs. Nevertheless, these fundamental concepts could be difficult to implement due to the wide spectrum of tasks to be covered from the perspective of each device in the WSN. Consequently, we propose the use of Cognitive Nodes (CNs) in typical sensor networks to provide intelligent information processing and knowledge-based services to the end-users. The CNs act on queries from the end-user, containing information about the nature of the request, without the need to modify and/or change any component at the end nodes from where data is collected. We present the detailed architecture and deployment strategy of the cognitive inspired framework that learns and exploits an expanded network information from relays and clustered sensors. Extensive simulation results show that in a network with randomly deployed sensor nodes, CNs can be strategically deployed at pre-determined positions, to ensure that end-user's Quality of Information (QoI) requirements are met, even under heavy traffic conditions and extensive packets' payloads. This shows the potential use of ICSN framework in producing the future cognitive applications, while catering to user-desired information quality.

Subject Keywords

Computer Networks and Communications, Hardware and Architecture, Software, Information Systems

URI

https://hdl.handle.net/11511/63416

Journal

MOBILE NETWORKS & APPLICATIONS

DOI

https://doi.org/10.1007/s11036-017-0891-0

Collections

Engineering, Article

Suggestions

OpenMETU
Core

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) ...
Energy efficient wireless unicast routing alternatives for machine-to-machine networks Tekbiyik, Neyre; Uysal, Elif (Elsevier BV, 2011-09-01) Machine-to-machine (M2M) communications is a new and rapidly developing technology for large-scale networking of devices without dependence on human interaction. Energy efficiency is one of the important design objectives for machine-to-machine network architectures that often contain multihop wireless subnetworks. Constructing energy-efficient routes for sending data through such networks is important not only for the longevity of the nodes which typically depend on battery energy, but also for achieving a...
A Cognitive Routing Protocol for Bio-Inspired Networking in the Internet of Nano-Things (IoNT) Al-Turjman, Fadi (Springer Science and Business Media LLC, 2020-10-01) 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...
Cognitive routing protocol for disaster-inspired Internet of Things Ai-Turjman, Fadi (Elsevier BV, 2019-03-01) 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...
Efficient active rule processing in wireless multimedia sensor networks Oztarak, Hakan; Akkaya, Kemal; Yazıcı, Adnan; Sarisaray-Boluk, Pinar (Inderscience Publishers, 2016-01-01) Due to limited energy resources in wireless multimedia sensor networks (WMSNs), there is a need to perform data reduction and elimination over raw video data at the camera sensors before transmission. Nonetheless, this data reduction and elimination may create imprecision and uncertainty in the data, reducing the quality of decision making. In this paper, we propose a reactive mechanism for not only fusing uncertain data at the sink but also for automated processing of data using active rules, extending the...

Citation Formats

F. Al-Turjman, “Cognitive-Node Architecture and a Deployment Strategy for the Future WSNs,” MOBILE NETWORKS & APPLICATIONS, pp. 1663–1681, 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/63416.