Paper
Sensor Network Data Processing via Algorithms Inspired by Image Processing Theory
- Authors:
- Aaron R. Rababaah
- Abstract
- This paper proposes a new concept for sensor network data processing inspired by the theory of image processing. We draw the analogy between the nature of sensor networks and digital images in data formation, space and time. As sensor technology evolves and advances in the era of pervasive computing and networking, the need for innovative ways to efficiently and effectively digest the overwhelming data collected by these devices is a serious challenge. As we explore the literature in the area of sensor networks, we find previous work has been focused on issues like: deployment, communication protocols, energy efficiency, clustering schemes, security, etc. On the other hand, we see insignificant effort in trying to find innovative ways that exploit already proven theories to make sense of the overall situation perceived by a sensor network. Our effort in this work is to investigate the theory of image processing and propose a methodology on how this theory can be utilized to serve sensor network technology. We provide simulated scenarios in the experimental work section to support the validity of the proposed concept.
- Keywords
- Sensor Networks; Image Processing; Sensor Data Representation; Sensor Data Mapping; Sensor Data Fusion; Image Processing Theory-Inspired Algorithms
- StartPage
- 57
- EndPage
- 63
- Doi