Paper Info
Title
A sampling algorithm for intermittently connected delay tolerant wireless sensor networks.
Abstract
This work presents a sampling solution applied to intermittently connected delay tolerant wireless sensor networks (ICDT-WSNs). In such networks, when the storage capacity of a node is limited compared to the amount of data to collect, it is common to apply a packet drop strategy based on network layer parameters only. However, such strategies are not suitable for monitoring applications of WSNs where data quality is essential. Alternatively, we propose a data-aware drop strategy which applies a sampling algorithm over the collected data in order to reduce the amount of stored data while keeping an overall data quality to represent the monitored area. In order to evaluate our solution, we executed and compared it with drop strategies in literature. We modeled and simulated scenarios where different events occur. The results show that the sampling algorithm is, approximately, twice better than common drop strategies in all evaluated scenarios.
Year
DOI
Venue
2015
10.1109/ISCC.2015.7405570
ISCC
Keywords
Field
DocType
sampling algorithm,intermittently connected delay tolerant wireless sensor networks,ICDT-WSN,storage capacity,packet drop strategy,network layer parameters,data quality,data-aware drop strategy
Histogram,Data quality,Computer science,Computer network,Real-time computing,Distributed computing,Key distribution in wireless sensor networks,Network layer,Network packet,Algorithm,Sampling (statistics),Mobile wireless sensor network,Wireless sensor network
Conference
Citations 
PageRank 
References 
0
0.34
12
Authors
4
Name
Order
Citations
PageRank
Israel L. C. Vasconcelos111.03
David H. S. Lima210.69
Carlos Maurício S. Figueiredo38810.84
André L. L. De Aquino413215.88