Wi-Fi Hotspot Auto-Discovery: A Practical & Energy-Aware System for Smart Objects using Cellular Signals
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 wo...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
European Alliance for Innovation (EAI)
2015-08-01
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| Series: | EAI Endorsed Transactions on Energy Web |
| Subjects: | |
| Online Access: | http://eudl.eu/doi/10.4108/eai.22-7-2015.2260071 |
| _version_ | 1818048375663099904 |
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| author | Nithyananthan Poosamani Injong Rhee |
| author_facet | Nithyananthan Poosamani Injong Rhee |
| author_sort | Nithyananthan Poosamani |
| collection | DOAJ |
| description | 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%. |
| first_indexed | 2024-12-10T10:20:41Z |
| format | Article |
| id | doaj.art-e9400bd710c34055b0103f0218439c4d |
| institution | Directory Open Access Journal |
| issn | 2032-944X |
| language | English |
| last_indexed | 2024-12-10T10:20:41Z |
| publishDate | 2015-08-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Energy Web |
| spelling | doaj.art-e9400bd710c34055b0103f0218439c4d2022-12-22T01:52:52ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Energy Web2032-944X2015-08-012511010.4108/eai.22-7-2015.2260071Wi-Fi Hotspot Auto-Discovery: A Practical & Energy-Aware System for Smart Objects using Cellular SignalsNithyananthan Poosamani0Injong Rhee1North Carolina State University; npoosam@ncsu.eduNorth Carolina State UniversityThe 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%.http://eudl.eu/doi/10.4108/eai.22-7-2015.2260071wi-fi sensingcellular signalssmart objectslocation fingerprintingenergy-efficiency |
| spellingShingle | Nithyananthan Poosamani Injong Rhee Wi-Fi Hotspot Auto-Discovery: A Practical & Energy-Aware System for Smart Objects using Cellular Signals EAI Endorsed Transactions on Energy Web wi-fi sensing cellular signals smart objects location fingerprinting energy-efficiency |
| title | Wi-Fi Hotspot Auto-Discovery: A Practical & Energy-Aware System for Smart Objects using Cellular Signals |
| title_full | Wi-Fi Hotspot Auto-Discovery: A Practical & Energy-Aware System for Smart Objects using Cellular Signals |
| title_fullStr | Wi-Fi Hotspot Auto-Discovery: A Practical & Energy-Aware System for Smart Objects using Cellular Signals |
| title_full_unstemmed | Wi-Fi Hotspot Auto-Discovery: A Practical & Energy-Aware System for Smart Objects using Cellular Signals |
| title_short | Wi-Fi Hotspot Auto-Discovery: A Practical & Energy-Aware System for Smart Objects using Cellular Signals |
| title_sort | wi fi hotspot auto discovery a practical energy aware system for smart objects using cellular signals |
| topic | wi-fi sensing cellular signals smart objects location fingerprinting energy-efficiency |
| url | http://eudl.eu/doi/10.4108/eai.22-7-2015.2260071 |
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