Joint routing and scheduling for centralised wireless sensor networks

Buratti, Chiara; Verdone, Roberto

doi:10.1109/rtsi.2016.7740561

Cited by 7 publications

(1 citation statement)

References 16 publications

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“…The proposed opportunistic energy efficient routing strategy with sleep scheduling method offered high performance and improved the routing quality in WSNs. One more approach of joint routing scheme with radio scheduling mechanism is proposed by Buratti and Verdone [50] for centralized WSNs. Authors proposed two algorithmic approaches i) sequential algorithm and ii) joint scheduling and routing algorithm.…”

Section: Related Workmentioning

confidence: 99%

Survey: energy efficient protocols using radio scheduling in wireless sensor network

Mathew¹,

Jones²

2020

IJECE

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An efficient energy management scheme is crucial factor for design and implementation of any sensor network. Almost all sensor networks are structured with numerous small sized, low cost sensor devices which are scattered over the large area. To improvise the network performance by high throughput with minimum energy consumption, an energy efficient radio scheduling MAC protocol is effective solution, since MAC layer has the capability to collaborate with distributed wireless networks. The present survey study provides relevant research work towards radio scheduling mechanism in the design of energy efficient wireless sensor networks (WSNs). The various radio scheduling protocols are exist in the literature, which has some limitations. Therefore, it is require developing a new energy efficient radio scheduling protocol to perform multi tasks with minimum energy consumption (e.g. data transmission). The most of research studies paying more attention towards to enhance the overall network lifetime with the aim of using energy efficient scheduling protocol. In that context, this survey study overviews the different categories of MAC based radio scheduling protocols and those protocols are measured by evaluating their data transmission capability, energy efficiency, and network performance. With the extensive analysis of existing works, many research challenges are stated. Also provides future directions for new WSN design at the end of this survey.

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Section: Related Workmentioning

confidence: 99%