Performance of wireless nano-sensor networks with energy harvesting

Chang Kyung Sung, Malcolm Egan, Zhuo Chen, Iain B. Collings

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

5 Citations (Scopus)


With recent advances in energy harvesting technology, practical wireless nano-sensor networks (WNSNs) are coming within reach. An important aspect of these WNSNs is that the charge time is significantly longer than each sensor mote can reliably transmit its data-leading to sparse transmission requests in the time-domain. In this paper, we propose a compressed sensing-based approach for efficient request handling. We show that our scheme can achieve near contention free transmission while ensuring that each sensor mote's queue is stable. This sharply contrasts with the unstable sensor mote queues obtained using the standard round- robin approach. To guide design, we also derive closed-form expressions for the average energy consumption, which show that the average energy state of the battery increases exponentially with the transmit power.

Original languageEnglish
Title of host publicationVTC2014-Spring
Subtitle of host publication2014 IEEE 79th Vehicular Technology Conference : proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages5
ISBN (Electronic)9781479944828
Publication statusPublished - 2014
Externally publishedYes
Event2014 IEEE 79th Vehicular Technology Conference (VTC Spring) - Seoul, Korea, Republic of
Duration: 18 May 201421 May 2014
Conference number: 79


Conference2014 IEEE 79th Vehicular Technology Conference (VTC Spring)
Abbreviated titleVTC2014-Spring
CountryKorea, Republic of


Dive into the research topics of 'Performance of wireless nano-sensor networks with energy harvesting'. Together they form a unique fingerprint.

Cite this