Software-Defined Networking Paradigm in Wireless Sensor Networks

Software-Defined Networking Paradigm in Wireless Sensor Networks

ISBN13: 9781522536406|ISBN10: 152253640X|EISBN13: 9781522536413
DOI: 10.4018/978-1-5225-3640-6.ch012
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MLA

Gupta, Govind P. "Software-Defined Networking Paradigm in Wireless Sensor Networks." Innovations in Software-Defined Networking and Network Functions Virtualization, edited by Ankur Dumka, IGI Global, 2018, pp. 254-267. https://doi.org/10.4018/978-1-5225-3640-6.ch012

APA

Gupta, G. P. (2018). Software-Defined Networking Paradigm in Wireless Sensor Networks. In A. Dumka (Ed.), Innovations in Software-Defined Networking and Network Functions Virtualization (pp. 254-267). IGI Global. https://doi.org/10.4018/978-1-5225-3640-6.ch012

Chicago

Gupta, Govind P. "Software-Defined Networking Paradigm in Wireless Sensor Networks." In Innovations in Software-Defined Networking and Network Functions Virtualization, edited by Ankur Dumka, 254-267. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3640-6.ch012

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Abstract

Software-defined networking (SDN) is an emerging network design and management paradigm that offers a flexible way for reducing the complexity of the network management and configuration. SDN-based wireless sensor networks (SDWSNs) consist of a set of software-defined sensor nodes equipped with different types of sensors. In SDWSN, sensor node is able to conduct different sensing tasks according to the programs injected into it and functionalities of these nodes can also be dynamically configured by injecting different application-specific programs. SDWSNs adopt the characteristics of SDN and can provide energy efficient solutions for various problems such as topology management, sleep scheduling, routing, and localization, etc. This chapter discusses how to apply SDN model in the design of an energy-efficient protocol for wireless sensor networks and also presents an overview of SDN model proposed for wireless sensor networks and SDN-based resource management, routing, sleep scheduling algorithm, localization for SDWSNs. Finally, open research challenges are summarized.

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