• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Sequential Hypothesis Testing based Polling Interval Adaptation in Wireless Sensor Networks for IoT Applications

Vol. 11, No. 3, March 30, 2017
10.3837/tiis.2017.03.008, Download Paper (Free):

Abstract

It is well known that duty-cycling control by dynamically adjusting the polling interval according to the traffic loads can effectively achieve power saving in wireless sensor networks. Thus, there has been a significant research effort in developing polling interval adaptation schemes. Especially, Dynamic Low Power Listening (DLPL) scheme is one of the most widely adopted open-looping polling interval adaptation techniques in wireless sensor networks. In DLPL scheme, if consecutive idle (busy) samplings reach a given fixed threshold, the polling interval is increased (decreased). However, due to the trial-and-error based approach, it may significantly deteriorate the system performance depending on given threshold parameters. In this paper, we propose a novel DLPL scheme, called SDL (Sequential hypothesis testing based Dynamic LPL), which employs sequential hypothesis testing to decide whether to change the polling interval conforming to various traffic conditions. Simulation results show that SDL achieves substantial power saving over state-of-the-art DLPL schemes.


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Cite this article

[IEEE Style]
S. Lee, "Sequential Hypothesis Testing based Polling Interval Adaptation in Wireless Sensor Networks for IoT Applications," KSII Transactions on Internet and Information Systems, vol. 11, no. 3, pp. 1393-1405, 2017. DOI: 10.3837/tiis.2017.03.008.

[ACM Style]
Sungryoul Lee. 2017. Sequential Hypothesis Testing based Polling Interval Adaptation in Wireless Sensor Networks for IoT Applications. KSII Transactions on Internet and Information Systems, 11, 3, (2017), 1393-1405. DOI: 10.3837/tiis.2017.03.008.

[BibTeX Style]
@article{tiis:21391, title="Sequential Hypothesis Testing based Polling Interval Adaptation in Wireless Sensor Networks for IoT Applications", author="Sungryoul Lee and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2017.03.008}, volume={11}, number={3}, year="2017", month={March}, pages={1393-1405}}