Flexible network management and application service adaptability in software defined wireless sensor networks

Abstract

The need for highly responsive and adaptable computing systems is essential in today's network computing age. This is principally due to the drastic evolution in broad computing platforms operating at highly descriptive and abstracted mediums such as; reconfigurable computing systems, smart automation systems, cognitive and parallel programming systems which communicate using very complex resources or modes. Hence, such systems must incorporate the best forms of technologies to cater for the rapidly growing and heterogeneously connected platforms such as with Internet of Things (IoT). However, to effectively manage these network platforms with such high-end computing resources, requires a well-structured and carefully implemented systems. This work implements a Software Defined Wireless Sensor Network (SDWSN) approach coupled with Discrete Event Simulation (DES) and a highly extensible and scalable Software Defined Networking (SDN) controller-OpenDayLight (ODL), to implement a software-oriented network environment to increase network service adaptability and simplify network management. The implemented approach uses the ODL's Model-Driven Service Abstraction Layer (MD-SAL) to facilitate the forwarding layer by applying state procedures to manage flow rules and introduce software-oriented network services. Experimental results indicate that in this approach, the traffic flow routing is significantly improved, with reduced transmission delays and that the underlying sensor nodes uses less energy since energy demanding tasks are performed on the controller.

[Retracted] The Protection for Personal Information Based on IoT Network Management and Data Sharing in Big Data Era

“…Reconfigurable computing systems, intelligent automated systems, and cognitive and parallel programming systems that use very complex resources or patterns for communication require a well-structured and carefully implemented system. Modieginyane, Malekian, and Letswamotse implemented a software-oriented networking environment through a software-defined wireless sensor network (SDWSN) approach combined with discrete event, simulation (DES), and a highly scalable software-defined network (SDN) controller [ 3 ]. Mykhaylenko, Waehrens, and Slepniov discussed operational strategies related to the link between configuration and capabilities, especially with regard to internationalization [ 4 ].…”

An efficient neural network optimized by fruit fly optimization algorithm for user equipment association in software‐defined wireless sensor network

“…Their paper emphasized the importance of adopting SDN in WSN networks, introduced the typical SDWSN architecture, reviewed some contributions to the SDWSN architecture and functions, and analyzed and compared goals, architectural designs, and useful functions to ensure improved WSN. Modieginyane et al 15 implemented a software‐defined WSN approach coupled with discrete event simulation (DES) and software‐defined networking controller OpenDayLight (ODL). They proposed a software‐oriented network environment to increase network service adaptability and simplify network management.…”

SDWSN: Software-Defined Wireless Sensor Network

“…Some of the researchers suggested that the SDN is an encouraging technology for the management of sensor networks in form of energy efficiency [51]. Hence, by preventing the unnecessary loads while transmission can improve energy efficiency [52]. Proposed a solution for security that is implemented on the controller of OpenFlow.…”