| Presentation | 2014-05-16 Improved DV-HOP Based Localization Scheme Using Iterative Learning with RSS Threshold Aye Maung Maung Nyein, Makoto Kawai, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | DV-HOP is a well known connectivity-based range-free scheme for localization in wireless ad-hoc and sensor networks. Multi-hop nature of it makes its applicability be suitable only for large-scale localization scenarios. Although there are a large number of published works based on DV-HOP, none of these researches considers prominent error generation of them with small-scale scenarios and there is still a lack of experimental evaluations of them so far. In this paper, we first present experimental analysis of DV-HOP in practical environment and point out the generation of a large amount of error in small-scale network scenarios. Further on the basis of this experimental analysis, we propose an improved localization scheme which iteratively updates the locations of unknown nodes by using both connectivity information and Received Signal Strength (RSS) based distance information. To make our proposed scheme be applicable to both small and large scale networks, we configure the connectivity information using the available RSS measurements and a predefined RSS threshold. Optimal RSS threshold value that minimizes the error for a particular network to be localized is derived as a function of the total number of nodes and the network size. In addition, we propose to use regulated hop-count values to get more precise proximity information among neighbors. Experimental results show that our proposed scheme improves the localization performance of DV-HOP by more than 50% without any extra hardware. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | RSS / localization / optimal RSS threshold / regulated hop-count |
| Paper # | RCS2014-29 |
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| Committee | RCS |
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| Conference Date | 2014/5/8(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Radio Communication Systems (RCS) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Improved DV-HOP Based Localization Scheme Using Iterative Learning with RSS Threshold |
| Sub Title (in English) | |
| Keyword(1) | RSS |
| Keyword(2) | localization |
| Keyword(3) | optimal RSS threshold |
| Keyword(4) | regulated hop-count |
| 1st Author's Name | Aye Maung Maung Nyein |
| 1st Author's Affiliation | Graduate School of Information Science and Engineering, Ritsumeikan University() |
| 2nd Author's Name | Makoto Kawai |
| 2nd Author's Affiliation | Graduate School of Information Science and Engineering, Ritsumeikan University |
| Date | 2014-05-16 |
| Paper # | RCS2014-29 |
| Volume (vol) | vol.114 |
| Number (no) | 30 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |