Log in
Language:

MERAL Myanmar Education Research and Learning Portal

  • MERAL
  • Universities
  • Ranking
AND
To


Index Link

Index Tree

WEKO

One fine body…

Item

{"_buckets": {"deposit": "79a4abd1-8f25-43e3-8063-87da19d32d2e"}, "_deposit": {"created_by": 30, "id": "5216", "owner": "30", "owners": [30], "owners_ext": {"displayname": "", "email": "khinmohmohaung@gmail.com", "username": ""}, "pid": {"revision_id": 0, "type": "recid", "value": "5216"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/5216"}, "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "RSS-based optimized DV-HOP localization scheme for wireless ad-hoc networks", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Abstract\u2014 Connectivity-based range-free schemes offer cost effective solutions for localization in wireless ad-hoc networks. Despite the number of published works on them, there is still a lack of real-world evaluations of them so far. In this paper, we first present experimental analysis of typical rang-free DV-HOP localization scheme in a real world environment and point out generation of a large amount of error in small scale network environments. Further on the basis of this experimental analysis, we propose an optimized DV-HOP scheme by incorporating DV-HOP with Received Signal Strength (RSS) based ranging approach. In the proposed solution, connectivity information used in DV-HOP is artificially configured by setting a RSS threshold to minimize the localization error generated in the practical environment. Then, iterative location learning algorithm is applied which uses connectivity information and RSS-based distance between unknown node and its neighbors to get more precise location estimations. For RSS-based distance estimation, a thorough empirical analysis of the radio propagation model is presented. Experimental results show that our proposed scheme achieves improved localization accuracy with low cost and power consumption."}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"date": [{"dateType": "Available", "dateValue": "2020-09-05"}], "download_preview_message": "", "filename": "RSS-based Optimized DV-HOP Localization Scheme for Wireless Ad-hoc Networks.pdf", "filesize": [{"value": "47 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "size": 47000, "url": {"url": "https://meral.edu.mm/record/5216/files/RSS-based Optimized DV-HOP Localization Scheme for Wireless Ad-hoc Networks.pdf"}, "version_id": "bc1fe172-420f-4d32-be21-2f8d18d4f778"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_c_date": "2013-12-02", "subitem_conference_title": "The Fourth International Conference on Science and Engineering", "subitem_place": "Yangon, Myanmar"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Nyein Aye Maung Maung"}, {"subitem_authors_fullname": "Makoto Kawai"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_name_i18n": "Upload type", "attribute_value": "Publication"}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_name_i18n": "Publication type", "attribute_value": "Conference paper"}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_name_i18n": "Publication date", "attribute_value": "2013-12-02"}, "item_title": "RSS-based optimized DV-HOP localization scheme for wireless ad-hoc networks", "item_type_id": "21", "owner": "30", "path": ["1582963413512/1596119372420"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000005216", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-09-05"}, "publish_date": "2020-09-05", "publish_status": "0", "recid": "5216", "relation": {}, "relation_version_is_last": true, "title": ["RSS-based optimized DV-HOP localization scheme for wireless ad-hoc networks"], "weko_shared_id": -1}
  1. Yangon Technological University
  2. Department of Computer Engineering and Information Technology

RSS-based optimized DV-HOP localization scheme for wireless ad-hoc networks

http://hdl.handle.net/20.500.12678/0000005216
0bc157a8-a1b0-4c45-bff9-8a00e85a6209
79a4abd1-8f25-43e3-8063-87da19d32d2e
Preview
 No preview available.
Name / File License Actions
RSS-based RSS-based Optimized DV-HOP Localization Scheme for Wireless Ad-hoc Networks.pdf (47 Kb)
license.icon
Publication type Conference paper
Upload type Publication
Title
RSS-based optimized DV-HOP localization scheme for wireless ad-hoc networks
en
Publication date 2013-12-02
Authors
Nyein Aye Maung Maung
Makoto Kawai
Description
Abstract— Connectivity-based range-free schemes offer cost effective solutions for localization in wireless ad-hoc networks. Despite the number of published works on them, there is still a lack of real-world evaluations of them so far. In this paper, we first present experimental analysis of typical rang-free DV-HOP localization scheme in a real world environment and point out generation of a large amount of error in small scale network environments. Further on the basis of this experimental analysis, we propose an optimized DV-HOP scheme by incorporating DV-HOP with Received Signal Strength (RSS) based ranging approach. In the proposed solution, connectivity information used in DV-HOP is artificially configured by setting a RSS threshold to minimize the localization error generated in the practical environment. Then, iterative location learning algorithm is applied which uses connectivity information and RSS-based distance between unknown node and its neighbors to get more precise location estimations. For RSS-based distance estimation, a thorough empirical analysis of the radio propagation model is presented. Experimental results show that our proposed scheme achieves improved localization accuracy with low cost and power consumption.
Conference papers
2013-12-02
The Fourth International Conference on Science and Engineering
Yangon, Myanmar
Back
0
0
views
downloads
See details
Views Downloads

Versions

Ver.1 2020-09-05 14:35:21.867622
Show All versions

Share

Mendeley CiteULike Twitter Facebook Print Addthis

Export

OAI-PMH
  • OAI-PMH DublinCore
Other Formats
  • JSON

Confirm


Back to MERAL


Back to MERAL