Directed diffusion: an application-specific and data-centric communication paradigm for wireless sensor networks
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Summary
This dissertation designs and evaluates directed diffusion, a paradigm for distributed sensing applications in wireless sensor networks that incorporates attribute-based naming, reinforcement-based adaptation, data-centric routing, and application-specific processing inside the network and proposes two instantiations of directed diffusion with different aggregation schemes.
- Type
- article
- Published
- 2002-01-01
- Cited by
- 5
- References
- 103
- OpenAlex
- https://openalex.org/W309465460
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:60355716
Keywords
Computer science, Wireless sensor network, Scalability, Distributed computing, Data aggregator
References
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- Multicast Extensions to OSPF
- Declarative ad-hoc sensor networking
- Scalable data naming for application level framing in reliable multicast
- An architecture for a secure service discovery service
Cited by
- Big data management for periodic wireless sensor networks. (Gestion de données volumineuses dans les réseaux de capteurs périodiques)
- Data Aggregation and Cross-layer Design in WSNs
- A Qualitative Comparison of Different Logical Topologies for Wireless Sensor Networks
- Optimized scheduling for data aggregation in wireless sensor networks
- Constraint-minimizing logical topology for wireless sensor networks
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