Evaluating energy consumption in wireless sensor networks

Kozłowski, Adam; Sosnowski, J.

doi:10.1117/12.2501347

Cited by 2 publications

(4 citation statements)

References 7 publications

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“…Based on the measurements and earlier definitions in [16], we can determine the energy consumption while receiving and transmitting frames after waking the node. Let l F be the total frame length in bits, R is the bit rate in bits per second and t IL is the time for idlelistening.…”

Section: Energy Consumption Modelsmentioning

confidence: 99%

“…Let l F be the total frame length in bits, R is the bit rate in bits per second and t IL is the time for idlelistening. The total energy for receiving (E RX_total ) and transmitting (E TX_total ) a frame can be expressed as a function of these variables, respectively: where according to [16]:…”

Section: Energy Consumption Modelsmentioning

confidence: 99%

“…In our calculations, we base on previously performed measurements [16] made for the CC1310 (TI) chip, which works only in the < 1 GHz range. For the purposes of presented calculations for the 2.4 GHz range, we introduce a correction in the above mentioned Table 1 Required parameters for selected IoT applications measurements, based on the datasheet of a similar CC1350 chip that works in both < 1 GHz and 2.4 GHz and belongs to the same CC13XX device family.…”

Section: And 5 For Each Class and Communication Techniquementioning

confidence: 99%

“…In the paper, we are referring to our previous studies [16] on energy consumption measurements done for nodes with modern Texas Instruments CC1310 chip. Based on these measurements, we have developed original and detailed power consumption models for various duty-cycling schemes.…”

Section: Introductionmentioning

confidence: 99%

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Energy Efficiency Trade-Off Between Duty-Cycling and Wake-Up Radio Techniques in IoT Networks

Kozłowski

Sosnowski

2019

Wireless Pers Commun

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Energy consumption has become dominant issue for wireless internet of things (IoT) networks with battery-powered nodes. The prevailing mechanism allowing to reduce energy consumption is duty-cycling. In this technique the node sleeps most of the time and wakes up only at selected moments to extend the lifespan of nodes up to 5-10 years. Unfortunately, the scheduled duty-cycling technique is always a trade-off between energy consumption and delay in delivering data to the target node. The delay problem can be alleviated with an additional wake-up radio (WuR) channel. In the paper we present original power consumption models for various duty-cycling schemes. They are the basis for checking whether WuR approach is competitive with scheduled duty-cycling techniques. We determine the maximum energy level that an additional wake-up radio can consume to become a reasonable alternative of widely used duty-cycling techniques for typical IoT networks.

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Section: Energy Consumption Modelsmentioning

confidence: 99%

Section: Energy Consumption Modelsmentioning

confidence: 99%

Section: And 5 For Each Class and Communication Techniquementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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