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| Content Provider | ACM Digital Library |
|---|---|
| Author | Yi, Yung Chong, Song Song Chong Yung Yi Eun, Do Young Cho, Jeong-Woo Do Young Eun Jeong, Jaeseong Jeong-Woo Cho Jaeseong Jeong |
| Description | Author Affiliation: Automatic Control Department, KTH Royal Institute of Technology, Sweden(Dept. of electr. & comput. eng., North Carolina State Univ., Raleigh, NC, USA (Do Young Eun; Song Chong); Dept. of electr. eng., Korea Adv. Inst. of Sci. & Technol. KAIST, Daejeon, South Korea (Yung Yi; Sch. of inf. & commun. technol, KTH R. Inst. of Technol., Kista, Sweden (Jeong-Woo Cho); School of information and communication technology, KTH Royal Institute of Technology, Sweden (Cho, Jeong-Woo); Autom. control dept., KTH R. Inst. of Technol., Stockholm, Sweden (Jaeseong Jeong); Department of electrical and computer engineering, North Carolina State University, USA (Eun, Do Young); Chong, Song); Department of electrical engineering, KAIST, South Korea (Yi, Yung; Jeong, Jaeseong)) |
| Abstract | An essential condition precedent to the success of mobile applications based on Wi-Fi e.g., iCloud is an energy-efficient Wi-Fi sensing. Clearly, a good Wi-Fi sensing policy should factor in both inter-access point AP arrival time IAT and contact duration time CDT distributions of each individual. However, prior work focuses on limited cases of those two distributions e.g., exponential or proposes heuristic approaches such as Additive Increase AI. In this paper, we first formulate a generalized functional optimization problem on Wi-Fi sensing under general inter-AP and contact duration distributions and investigate how each individual should sense Wi-Fi APs to strike a good balance between energy efficiency and performance, which is in turn intricately linked with users mobility patterns. We then derive a generic optimal condition that sheds insights into the aging property, underpinning energy-aware Wi-Fi sensing polices. In harnessing our analytical findings and the implications thereof, we develop a new sensing algorithm, called Wi-Fi Sensing with AGing WiSAG, and demonstrate that WiSAG outperforms the existing sensing algorithms up to 37% through extensive trace-driven simulations for which real mobility traces gathered from hundreds of smartphones is used. |
| Starting Page | 2416 |
| Ending Page | 2428 |
| Page Count | 13 |
| File Format | |
| ISSN | 10636692 |
| DOI | 10.1109/TNET.2015.2468590 |
| Volume Number | 24 |
| Issue Number | 4 |
| Journal | IEEE/ACM Transactions on Networking (TON) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-08-01 |
| Access Restriction | One Nation One Subscription (ONOS) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Networks and Communications Software Computer Science Applications |
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