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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Minh Tuan Nguyen Teague, K.A. |
| Copyright Year | 2015 |
| Description | Author affiliation: Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA (Minh Tuan Nguyen; Teague, K.A.) |
| Abstract | Mobile sinks have been shown to balance energy and help to achieve uniform power consumption across wireless sensor networks (WSN). In this paper, a compressive sensing (CS) based algorithm for distributed mobile sensors to collect data from static sensors deployed in a sensing area is proposed. The mobile sensors deployed randomly in the field are capable as mobile sinks. They move randomly in the sensing area to collect sensory data from a certain number of static sensors to create CS measurements. The measurements are exchanged between the mobile sensors based on a defined transmission range. After each mobile sensor obtains all CS measurements from the others, it can implement a CS recovery algorithm to reconstruct all sensor readings from all the static sensors in the network to build a scalar map itself. All power consumption for data transmission between the mobile sensors is formulated, analyzed and simulated. The main elements of the network, including the number of mobile sensors, the transmission range, and the convergence time are analyzed and an optimal case for the network to consume the least power is shown. |
| Starting Page | 188 |
| Ending Page | 193 |
| File Size | 483659 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467383721 |
| ISSN | 21621020 |
| e-ISBN | 9781467383745 |
| DOI | 10.1109/ATC.2015.7388317 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-10-14 |
| Publisher Place | Vietnam |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless sensor networks Power demand Compressive sensing wireless sensor networks mobile sinks Data collection Mobile communication Sensors Sparse matrices Mobile computing |
| Content Type | Text |
| Resource Type | Article |
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