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Layering the Internet-of-Things with Multicasting in Flow-Sensors for Internet-of-Services

초록

영어

Development of Internet-of-Services will be hampered by heterogeneous Internet-of-Things infrastructures, such as inconsistency in communicating with participating objects, connectivity between them, topology definition & data transfer, access via cloud computing for data storage etc. Our proposed solutions are applicable to a random topology scenario that allow establishing of multi-operational sensor networks out of single networks and/or single service networks with the participation of multiple networks; thus allowing virtual links to be created and resources to be shared. The designed layers are context-aware, application-oriented, and capable of representing physical objects to a management system, along with discovery of services. The reliability issue is addressed by deploying IETF supported IEEE 802.15.4 network model for low-rate wireless personal networks. Flow-sensor succeeded better results in comparison to the typical - sensor from reachability, throughput, energy consumption and diversity gain viewpoint and through allowing the multicast groups into maximum number, performances can be improved.

목차

Abstract
 1. Introduction
 2. Background and Motivation
 3. Related Work
 4. Layers for the Internet of Things
  A. Layer 1: Object
  B. Layer 2: Sensing and Monitoring
  C. Layer 3: Networking and Communications
  D. Layer 4: Storage and Management
  E. Layer 5: Smart Services
 5. Conceptual Modeling
  A. Model: Reachability
  B. Model: Reliability
  C. Example Scenario
 6. Performance Evaluation
 7. Security and Privacy as Open Issues
  A. Security scheme in layer 1 ( Object ):
  B. Security scheme in layer 2 (Sensing and Monitoring ):
  C. Security scheme in layer 3 ( Networking and Communication):
  D. Security scheme in layer 4 ( Storage and Management):
  E. Security scheme in layer 5:
 8. Conclusion
 References

저자정보

  • Rahim Rahmani Department of Computer and Systems Sciences Stockholm University, Sweden
  • Theo Kanter Department of Computer and Systems Sciences Stockholm University, Sweden

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