RaESS: Reliable-and-Efficient Statistical Spreading Data Fusion Mechanism in Wireless Sensor Network
Autor: | B. S. Jayasri, G. Raghavendra Rao |
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Rok vydání: | 2017 |
Předmět: |
Network packet
Computer science Distributed computing Reliability (computer networking) 010401 analytical chemistry 020206 networking & telecommunications 02 engineering and technology Energy consumption Sensor fusion 01 natural sciences 0104 chemical sciences Key distribution in wireless sensor networks Transmission (telecommunications) 0202 electrical engineering electronic engineering information engineering Mobile wireless sensor network Wireless sensor network |
Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783319571409 CSOC (3) |
DOI: | 10.1007/978-3-319-57141-6_33 |
Popis: | Ensuring continued sustainable communication characteristics are still questionable fact to be obtained by existing data fusion techniques. We have reviewed existing studies to find more scope towards reliability. This paper has presented a novel model called as RaESS or Reliable-and-Efficient Statistical Spreading Data Fusion Mechanism which mainly aims to achieve higher number of unique transmission and lower utilization of resources. We introduced Degree of Information that compliments to increase reliable transmission while minimizing packet drops. Compared to existing technique, proposed technique shows reduced energy consumption and enhanced communication performance (data delivery ratio, delay, algorithm processing time). |
Databáze: | OpenAIRE |
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