Poosamani, Nithyananthan and Rhee, Injong (2015) Wi-Fi Hotspot Auto-Discovery: A Practical & Energy-Aware System for Smart Objects using Cellular Signals. EAI Endorsed Transactions on Creative Technologies, 2 (5). e1. ISSN 2032-944X
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Abstract
The Internet of Things (IoT) paradigm aims to interconnect a variety of heterogeneous Smart Objects (SO) using energy-efficient methodologies and standard communication protocols. A majority of consumer devices sold today come equipped with wireless LAN and cellular technology to connect with the world-wide network. To discover Wi-Fi hot spots, there is a need for constant scanning of Wi-Fi radio in these devices and results in significant battery drain. We present PRiSM, a practical system to automatically locate Wi-Fi hotspots while Wi-Fi radio is turned off, by using the statistical characteristics of cellular signals. Cellular signals are received at zero extra cost in mobile devices and hence PRiSM is highly energy-efficient. It is a lightweight client-side only implementation and needs no prior knowledge on floor plans or wireless infrastructure. We implement PRiSM on Android-based devices and show up to 96% of energy savings in Wi-Fi sensing operations which is equivalent to saving up to 16% of total battery capacity, together with an average prediction accuracy of up to 98%.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | wi-fi sensing, cellular signals, smart objects, location fingerprinting, energy-efficiency |
| Subjects: | T Technology > T Technology (General) |
| Depositing User: | EAI Editor IV |
| Date Deposited: | 07 Apr 2021 07:19 |
| Last Modified: | 07 Apr 2021 07:19 |
| URI: | https://eprints.eudl.eu/id/eprint/2208 |
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