International Journal of Information Engineering and Applications  
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Voice over Wireless Sensor Network (VoWSN) System: A Literature Survey
International Journal of Information Engineering and Applications
Vol.1 , No. 1, Publication Date: Mar. 10, 2018, Page: 23-36
535 Views Since March 10, 2018, 564 Downloads Since Mar. 10, 2018
 
 
Authors
 
[1]    

Ina’am Fathi, Computer Engineering Department, Mosul University, Mosul, Iraq.

[2]    

Qutaiba Ibrahim Ali, Computer Engineering Department, Mosul University, Mosul, Iraq.

[3]    

Jassim Mohammed Abdul-Jabar, Computer Engineering Department, Mosul University, Mosul, Iraq.

 
Abstract
 

Recently, wireless sensor networks (WSNs) have been confirmed as an important low power embedded computing platform. As a consequence it has become a significant research area for many applications such as industrial control, environmental monitoring systems, intelligent agriculture, health monitoring. As one of the active research areas, voice application based sensor network is still new. The researchers efforts to exploit the WSN for transferring the voice led to emerge a new attitude refers to as Voice over WSN (VoWSN). This attitude opens up an interesting opportunity for numerous fields of applications based on human voice like voice communication system, monitoring and security system, and ambient intelligence. However, supporting multimedia transport like voice using these low cost, resource – limit sensor networks, is never a trivial task and the researches have been conducted widely. To cope the subject of VOWSN in its all aspects, this research reviews the state of the art and the major research challenges in algorithms, architectures, and requirements for voice over wireless sensor networks. Furthermore, This study presents a literature overview concerning the feasibility of designing and implementing the VoWSN system and assigns the problems of supporting the voice over WSNs despite sensor nodes only have limited processing and communication capabilities.


Keywords
 

WSN, Voice Communication, Ambient Intelligence, Embedded Systems, Resource Constrains


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