| Presentation | 2018-01-18 Joint data compression and packet-level forward erasure correction based on network data rate and loss rate Yoshihisa Kuwahara, Masato Tsuru, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In case of outdoor settings, IoT (Internet of Things) devices such as sensors often use low data-rate wireless channels to realize a long distance and inexpensive communications; a considerable packet losses happen due to obstacles and fading etc. On the other hand, numerical data obtained from sensors allow different levels of accuracy depending on the purpose of use, and do not require strict lossless compression. In this report, therefore, we assume that a sender compresses a sequence of integer values obtained from a sensor, stores it in multiple packets redundantly, and transmits it via a lossy wireless network, while a receiver tries to reconstruct the original sensor data from the received packets. Assuming a level of allowable errors in reconstructed sensor data at receiver, we propose a joint data compression and packet-level forward recovery scheme to adapt to a low data-rate and a high loss-rate of the network path. The proposed scheme performs a broken line approximation of the sensor data, and sends the polygonal line information (called the line data) with the amendment information on a part of differences between the polygonal line and individual original values (called the offset data). Data generation rate of the sensor; data rate, packet loss rate, and packet size of the network path; an allowable error level of the application are considered to take a broken line approximation and to give different transmission redundancies to the line data and the offset data, respectively, to efficiently utilize a low available data-rate. Its effectiveness is shown through simulation using data with different increasing patterns. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Sensor data / Data compression / Forward erasure correction / Golomb-Rice coding |
| Paper # | ICM2017-33,LOIS2017-49 |
| Date of Issue | 2018-01-11 (ICM, LOIS) |
| Conference Information | |
| Committee | LOIS / ICM |
|---|---|
| Conference Date | 2018/1/18(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Sojo University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Practical Use of Lifelog, Office Information System, Business Management, etc. |
| Chair | Hiroyuki Nishi(Sojo Univ.) / Toshio Tonouchi(NEC) |
| Vice Chair | Tomohiro Yamada(NTT) / Yuji Nomura(Fujitsu Labs.) / Yoichi Yamashita(NTT-N) |
| Secretary | Tomohiro Yamada(Nagasaki Univ.) / Yuji Nomura(NTT) / Yoichi Yamashita(Fujitsu) |
| Assistant | Motoi Okamoto(Research Organization of Information and Systems) / Haruo Ooishi(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Life Intelligence and Office Information Systems / Technical Committee on Information and Communication Management |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Joint data compression and packet-level forward erasure correction based on network data rate and loss rate |
| Sub Title (in English) | |
| Keyword(1) | Sensor data |
| Keyword(2) | Data compression |
| Keyword(3) | Forward erasure correction |
| Keyword(4) | Golomb-Rice coding |
| 1st Author's Name | Yoshihisa Kuwahara |
| 1st Author's Affiliation | kyushu institute of technology(KIT) |
| 2nd Author's Name | Masato Tsuru |
| 2nd Author's Affiliation | kyushu institute of technology(KIT) |
| Date | 2018-01-18 |
| Paper # | ICM2017-33,LOIS2017-49 |
| Volume (vol) | vol.117 |
| Number (no) | ICM-388,LOIS-389 |
| Page | pp.pp.1-6(ICM), pp.1-6(LOIS), |
| #Pages | 6 |
| Date of Issue | 2018-01-11 (ICM, LOIS) |