Authors:
Lina Xu
;
David Lillis
;
G. M. P. O’Hare
and
Rem Collier
Affiliation:
University College Dublin, Ireland
Keyword(s):
User Configurable, Adaptation, Clustering, Voronoi.
Related
Ontology
Subjects/Areas/Topics:
Network Architecture
;
Network Performance
;
Obstacles
;
Routing Techniques
;
Sensor Networks
;
Technologies and Standards
;
Wireless Information Networks
;
Wireless Network Protocols
Abstract:
Wireless Sensor Networks (WSNs) are comprised of thousands of nodes that are embedded with limited energy resources. Clustering is a well-known technique that can be used to extend the lifetime of such a network. However, user adaption is one criterion that is not taken into account by current clustering algorithms. Here, the term “user” refers to application developer who will adjust their preferences based on the application specific requirements of the service they provide to application users. In this paper, we introduce a novel metric named Communication Distance (ComD), which can be used in clustering algorithms to measure the relative distance between sensors in WSNs. It is tailored by user configuration and its value is computed from real time data. These features allow clustering algorithms based on ComD to adapt to user preferences and dynamic environments. Through experimental and theoretical studies, we seek to deduce a series of formulas to calculate ComD from Time of Fl
ight (ToF), Radio Signal Strength Indicator (RSSI), node density and hop count according to some user profile.
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