RaESS: Reliable-and-Efficient Statistical Spreading Data Fusion Mechanism in Wireless Sensor Network

Autor: B. S. Jayasri, G. Raghavendra Rao
Rok vydání: 2017
Předmět:
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