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AFIRM: Adaptive forwarding based link recovery for mobility support in NDN/IoT networks
- Source :
- Future Generation Computer Systems, Future Generation Computer Systems, 2018, 87, pp.351-363. ⟨10.1016/j.future.2018.04.087⟩, Future Generation Computer Systems, Elsevier, 2018, 87, pp.351-363. ⟨10.1016/j.future.2018.04.087⟩
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- International audience; The Internet of Things (IoT) ecosystem includes a plethora of devices equipped with heterogeneous communication interfaces. They exhibit different mobility patterns and hardware constraints as memory, battery and processing power. On the other hand, IoT applications are overlayed on top of these constrained-devices imposing stringent requirements in term of data availability, data coherence, and response latency. To cope with these challenges, Named Data Networking (NDN) architecture is positioned in the middle layer to act as the networking layer. By providing easy data access thanks to the unique and location-independent content names, in-network caching and name-based routing, NDN expects to hide from IoT applications the complexity and diversity of the underlying Things by adapting the network operation to their features. In this paper, we focus on data availability requirements threatened by high IoT network dynamics related to sensors mobility. We address the producer mobility issue in NDN/IoT networks using the routing-based approach. We propose a novel and efficient forwarding algorithm named AFIRM in order to support producer mobility, and compare its performances to those of other relevant solutions based on the routing approach.
- Subjects :
- Computer Networks and Communications
business.industry
Computer science
[INFO.INFO-WB]Computer Science [cs]/Web
020206 networking & telecommunications
[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]
02 engineering and technology
Network dynamics
[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]
Hardware and Architecture
0202 electrical engineering, electronic engineering, information engineering
[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]
020201 artificial intelligence & image processing
business
Internet of Things
Software
Computer network
Subjects
Details
- ISSN :
- 0167739X
- Volume :
- 87
- Database :
- OpenAIRE
- Journal :
- Future Generation Computer Systems
- Accession number :
- edsair.doi.dedup.....79d64373cec1c5bbfc2d0e62d8f81386