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Context-Aware Broadcast in Duty-Cycled Wireless Sensor Networks
- Source :
- International Journal on Semantic Web and Information Systems. 13:48-67
- Publication Year :
- 2017
- Publisher :
- IGI Global, 2017.
-
Abstract
- As the energy efficiency remains a key issue in wireless sensor networks, duty-cycled mechanisms acquired much interest due to their ability to reduce energy consumption by allowing sensor nodes to switch to the sleeping state whenever possible. The challenging task is to authorize a sensor node to adopt a duty-cycle mode without inflicting any negative impact on the performance of the network. A context-aware paradigm allows sensors to adapt their functional behavior according to the context in order to enhance network performances. In this context, the authors propose an enhanced version the Efficient Context-Aware Multi-hop Broadcasting (E-ECAB) protocol, which combines the advantages of context awareness by considering a multi criteria and duty-cycle technique in order to optimize resources usage and satisfy the application requirements. Simulation results show that E-ECAB achieves a significant improvement in term of throughput and end-to-end delay without sacrificing energy efficiency.
- Subjects :
- Computer Networks and Communications
Wireless network
Computer science
business.industry
020206 networking & telecommunications
02 engineering and technology
Key distribution in wireless sensor networks
Sensor node
0202 electrical engineering, electronic engineering, information engineering
Mobile wireless sensor network
020201 artificial intelligence & image processing
Radio resource management
Broadcast radiation
business
Wireless sensor network
Information Systems
Efficient energy use
Computer network
Subjects
Details
- ISSN :
- 15526291 and 15526283
- Volume :
- 13
- Database :
- OpenAIRE
- Journal :
- International Journal on Semantic Web and Information Systems
- Accession number :
- edsair.doi...........98797da7f3c1091b05fb5c97685a96df
- Full Text :
- https://doi.org/10.4018/ijswis.2017070103