A unique solution for designing low-Cost, heterogeneous sensor networks using a middleware integration platform

Trevathan, Jarrod, and Myers, Trina (2014) A unique solution for designing low-Cost, heterogeneous sensor networks using a middleware integration platform. World Academy of Science, Engineering and Technology, 8 (4). pp. 534-543.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: http://waset.org/publications/9998078
 
2


Abstract

Proprietary sensor network systems are typically expensive, rigid and difficult to incorporate technologies from other vendors. When using competing and incompatible technologies, a non-proprietary system is complex to create because it requires significant technical expertise and effort, which can be more expensive than a proprietary product. This paper presents the Sensor Abstraction Layer (SAL) that provides middleware architectures with a consistent and uniform view of heterogeneous sensor networks, regardless of the technologies involved. SAL abstracts and hides the hardware disparities and specificities related to accessing, controlling, probing and piloting heterogeneous sensors. SAL is a single software library containing a stable hardware-independent interface with consistent access and control functions to remotely manage the network. The end-user has near-real-time access to the collected data via the network, which results in a cost-effective, flexible and simplified system suitable for novice users. SAL has been used for successfully implementing several low-cost sensor network systems.

Item ID: 32768
Item Type: Article (Scholarly Work)
Keywords: sensor networks, hardware abstraction, middleware integration platform, sensor web enablement
ISSN: 2010-3778
Date Deposited: 30 May 2014 06:54
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0805 Distributed Computing > 080503 Networking and Communications @ 50%
08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080105 Expert Systems @ 50%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970108 Expanding Knowledge in the Information and Computing Sciences @ 100%
Downloads: Total: 2
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page