Paper Info
Title
Effective Stochastic Modeling Of Energy-Constrained Wireless Sensor Networks
Abstract
Energy consumption of energy-constrained nodes in wireless sensor networks (WSNs) is a fatal weakness of these networks. Since these nodes usually operate on batteries, the maximum utility of the network is dependent upon the optimal energy usage of these nodes. However, new emerging optimal energy consumption algorithms, protocols, and system designs require an evaluation platform. This necessitates modeling techniques that can quickly and accurately evaluate their behavior and identify strengths and weakness. We propose Petri nets as this ideal platform. We demonstrate Petri net models of wireless sensor nodes that incorporate the complex interactions between the processing and communication components of an WSN. These models include the use of both an open and closed workload generators. Experimental results and analysis show that the use of Petri nets is more accurate than the use of Markov models and programmed simulations. Furthermore, Petri net models are extremely easier to construct and test than either. This paper demonstrates that Petri net models provide an effective platform for studying emerging energy-saving strategies in WSNs.
Year
DOI
Venue
2012
10.1155/2012/870281
JOURNAL OF COMPUTER NETWORKS AND COMMUNICATIONS
Keywords
Field
DocType
wireless sensor networks,stochastic modeling
Key distribution in wireless sensor networks,Petri net,Wireless,Workload,Computer science,Markov model,Mobile wireless sensor network,Wireless sensor network,Energy consumption,Distributed computing
Journal
Volume
ISSN
Citations 
2012
2090-7141
4
PageRank 
References 
Authors
0.44
14
2
Name
Order
Citations
PageRank
Ali Shareef1444.02
Yifeng Zhu251335.33