Evaluation of MANEMO route optimization schemes |
| |
| Affiliation: | 1. Electrical and Computer Engineering Department, International Islamic University Malaysia (IIUM), Kuala Lumpur, Malaysia;2. Electronics Engineering School, Engineering Faculty, Electronics Engineering Department, Sudan University of Science and Technology (SUST), Khartoum, Sudan;1. Faculty of Science, Energy and Environment, King Mongkut''s University of Technology North Bangkok, Rayong Campus, Rayong 21120, Thailand;2. Department of Physics and Materials Science, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand;3. Center of Excellence in Materials Science and Technology, Materials Science Research Center, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand;4. School of Energy Science and Engineering, Vidyasirimedhi Institute of Science and Technology, Rayong 21210, Thailand;5. Department of Electrical and Computer Engineering, College of Engineering, The University of Texas at San Antonio, San Antonio, TX 78249, USA;1. School of National Defense Science and Technology, State Key Laboratory for Environment Friendly Energy Materials, Southwest University of Science and Technology, Mianyang 621010, China;2. Institute of Applied Physics and Computational Mathematics, Beijing 100088, China;3. School for Radiological and Interdisciplinary Sciences and Collaborative Innovation Center of Radiation Medicine, Soochow University, Suzhou 215123, China;4. College of Science, Beijing University of Chemical Technology, Beijing 100029, China;5. School of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, China;1. Pohang Accelerator Laboratory, POSTECH, Pohang, 37673, South Korea;2. Advanced Analysis Center, Korea Institute of Science and Technology (KIST), Seoul, 02792, South Korea;3. Department of Pathology and Laboratory Medicine;4. Indiana University Simon Cancer Center, Indiana University School of Medicine, Indianapolis, Indiana 46202;3. Department of Immunology, Graduate School of Pharmaceutical Sciences, Hokkaido University, Kita 12, Nishi 6, Kita-Ku, Sapporo, Hokkaido 060-0812;4. the Department of Microbiology and Immunology, Keio University School of Medicine, Tokyo 160-8582;5. Department of Hematology, International University of Health and Welfare, 4-3 Kouzunomori, Narita, Chiba 286-8686, Japan |
| |
| Abstract: | In the doorway of the Mobile IPv6 (MIPv6), it was considered as the standard protocol that support the host mobility. Due to its limitation that does not support the mobile routers (MRs), the Internet engineering task force (IETF) has introduced the NEMO basic support (NEMO BS) protocol. The mobile ad hoc network (MANET) routing protocol provides the local and the direct communications between two mobile devices within the nested NEMO (when multiple MRs are connected together). Integrating the MANET and the NEMO (MANEMO) provides the necessary additions to the existing protocols (IPv6, neighbor discovery (ND), and NEMO) to support the nested MRs. It provides a mechanism to select the most suitable path to the Exit Router (ER) as a default in the MANEMO Fringe Stub (MFS). The NCM (NEMO centric MANEMO) protocol is introduced to address the nested NEMO issues (e.g. pinball problem) by using the MANET routing a protocol (i.e., OLSR), while the MCM (MANET centric MANEMO) protocol is introduced to address the MANET problem (e.g. Internet connectivity). The main aim of this paper is to investigate the current approaches that are introduced to provide the route optimization (RO) for the NEMO. It highlights the strengths and the limitations of these approaches. Both the qualitative and the quantitative evolutions of these proposals are hereby presented. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
