Query Learning-Based Scheme for Pertinent Resource Lookup in Mobile P2P Networks
P2P networking has grasped an increasing interest worldwide among both researchers and computer networking professionals. As a witness, several P2P applications mainly used for file sharing over the Internet have been proposed. Considering the great success of mobile devices in recent years, P2P app...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8685104/ |
| _version_ | 1818618219267620864 |
|---|---|
| author | Taoufik Yeferny Sofian Hamad Sadok Ben Yahia |
| author_facet | Taoufik Yeferny Sofian Hamad Sadok Ben Yahia |
| author_sort | Taoufik Yeferny |
| collection | DOAJ |
| description | P2P networking has grasped an increasing interest worldwide among both researchers and computer networking professionals. As a witness, several P2P applications mainly used for file sharing over the Internet have been proposed. Considering the great success of mobile devices in recent years, P2P applications have also been deployed over mobile networks such as mobile ad-hoc networks (MANETs). However, the mismatch between the P2P overlay and the MANET underlay topologies makes the resources lookup mechanism in mobile P2P applications very difficult. Therefore, this downside is the main hindrance to the deployment of such applications over MANETs. To overcome the mismatch issue, we propose in this paper RLSM-P2P a cross-layer resource lookup scheme for Mobile P2P applications. The main thrust of RLSM-P2P consists of building an efficient unstructured P2P overlay that closely matches the underlay physical network and swiftly adapts to its volatility and dynamicity by considering different MANET constraints. Furthermore, RLSM-P2P relies on a query learning resource lookup mechanism for locating pertinent resources to user queries. The performed experiments show that RLSM-P2P outperforms its competitors in terms of effectiveness and efficiency. |
| first_indexed | 2024-12-16T17:18:07Z |
| format | Article |
| id | doaj.art-33c73312141e4aa7a4e47ed42a684567 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T17:18:07Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-33c73312141e4aa7a4e47ed42a6845672022-12-21T22:23:15ZengIEEEIEEE Access2169-35362019-01-017490594906810.1109/ACCESS.2019.29101178685104Query Learning-Based Scheme for Pertinent Resource Lookup in Mobile P2P NetworksTaoufik Yeferny0https://orcid.org/0000-0003-4600-8131Sofian Hamad1Sadok Ben Yahia2College of Science, Northern Border University, Arar, Saudi ArabiaCollege of Science, Northern Border University, Arar, Saudi ArabiaDepartment of Software Science, Tallinn University of Technology, Tallinn, EstoniaP2P networking has grasped an increasing interest worldwide among both researchers and computer networking professionals. As a witness, several P2P applications mainly used for file sharing over the Internet have been proposed. Considering the great success of mobile devices in recent years, P2P applications have also been deployed over mobile networks such as mobile ad-hoc networks (MANETs). However, the mismatch between the P2P overlay and the MANET underlay topologies makes the resources lookup mechanism in mobile P2P applications very difficult. Therefore, this downside is the main hindrance to the deployment of such applications over MANETs. To overcome the mismatch issue, we propose in this paper RLSM-P2P a cross-layer resource lookup scheme for Mobile P2P applications. The main thrust of RLSM-P2P consists of building an efficient unstructured P2P overlay that closely matches the underlay physical network and swiftly adapts to its volatility and dynamicity by considering different MANET constraints. Furthermore, RLSM-P2P relies on a query learning resource lookup mechanism for locating pertinent resources to user queries. The performed experiments show that RLSM-P2P outperforms its competitors in terms of effectiveness and efficiency.https://ieeexplore.ieee.org/document/8685104/P2PMANETquery learningresource lookup |
| spellingShingle | Taoufik Yeferny Sofian Hamad Sadok Ben Yahia Query Learning-Based Scheme for Pertinent Resource Lookup in Mobile P2P Networks IEEE Access P2P MANET query learning resource lookup |
| title | Query Learning-Based Scheme for Pertinent Resource Lookup in Mobile P2P Networks |
| title_full | Query Learning-Based Scheme for Pertinent Resource Lookup in Mobile P2P Networks |
| title_fullStr | Query Learning-Based Scheme for Pertinent Resource Lookup in Mobile P2P Networks |
| title_full_unstemmed | Query Learning-Based Scheme for Pertinent Resource Lookup in Mobile P2P Networks |
| title_short | Query Learning-Based Scheme for Pertinent Resource Lookup in Mobile P2P Networks |
| title_sort | query learning based scheme for pertinent resource lookup in mobile p2p networks |
| topic | P2P MANET query learning resource lookup |
| url | https://ieeexplore.ieee.org/document/8685104/ |
| work_keys_str_mv | AT taoufikyeferny querylearningbasedschemeforpertinentresourcelookupinmobilep2pnetworks AT sofianhamad querylearningbasedschemeforpertinentresourcelookupinmobilep2pnetworks AT sadokbenyahia querylearningbasedschemeforpertinentresourcelookupinmobilep2pnetworks |