NDLI: Optimization of Actors Placement within Wireless Sensor-Actor Networks

Content Provider	IEEE Xplore Digital Library
Author	Alaiwy, M.H. Alaiwy, F.H. Habib, S.
Copyright Year	2007
Description	Author affiliation: Kuwait Univ., Safat (Alaiwy, M.H.; Alaiwy, F.H.; Habib, S.)
Abstract	Wireless sensor-actor networks (WSANs) refer to a group of sensors and actors linked by wireless medium to perform distributed sensing and acting tasks. The main communication paradigm in WSANs is based on the sensor-actor coordination. Appropriate actions, which are corresponding to the sensed phenomenon, can't be performed unless the event's information is transmitted from the sensors to actors. One of the main requirements of sensor-actor communication in WSANs is the real-time requirement. Despite the importance of real-time communications in WSANs, to date no significant solution exists for this problem. This paper examines the placement of actors with respect to a real-time communication constraint in the WSANs. We have utilized the genetic algorithm (GA) to search the space with an objective function consisting of a main term (the communication delay) and two competitive terms (cost and accuracy). Our simulation results show that our proposed methodology provides a cost effective and accurate solution for the placement of actors within WSAN when the sensors are densely deployed.
Starting Page	179
Ending Page	184
File Size	1198888
Page Count	6
File Format	PDF
ISBN	9781424415205
ISSN	15301346
DOI	10.1109/ISCC.2007.4381511
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Sensor phenomena and characterization Intelligent sensors Fires Genetic algorithms Delay Cost function Chemical sensors Intrusion detection Centralized control genetic algorithm wireless sensor-actor networks (WSANs) real-time communication placement optimization
Content Type	Text
Resource Type	Article
Subject	Signal Processing Mathematics Computer Networks and Communications Computer Science Applications Software

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