Training Data Compression Algorithms and Reliability in Large Wireless Sensor Networks

Abstract With the availability of low-cost sensor nodes there have been many standards developed to integrate and network these nodes to form a reliable network allowing many different types of hardware vendors to coexist. Most of these solutions however have aimed at industry-specific interoperability but not the size of the sensor network and the large amount of data which is collected in course of its lifetime. In this paper we use well studied data compression algorithms which optimize on bringing down the data redundancy which is related to correlated sensor readings and using a probability model to efficiently compress data at the cluster heads. As in the case of sensor networks the data reliability goes down as the network resource depletes and these types of networks lacks any central synchronization making it even more a global problem to compare different reading at the central coordinator. The complexity of calibrating each sensor and using an adaptable measured threshold to correct the reading from sensors is a severe drain in terms of network resources and energy consumption. In this paper we separate the task of comparative global analysis to a central coordinator and use a reference PM ax which is a normalized probability of individual source which reflects the current lifetime reliability of the sensors calculated at the cluster heads which then is compared with the current global reliability index based on all the PMax of cluster heads. As this implementation does not need any synchronization at the local nodes it uses compress once and stamp locally without any threshold such as application specific calibration values (30±C ) and the summarization can be application independent making it more a sensor network reliability index and using it independent of the actual measured values.

• Publication year

  2008

• Venue

  Sensor Networks, Ubiquitous, and Trustworthy Computing

• Publication date

  2008-01-01

• Fields of study

  Computer Science, Engineering, Environmental Science

• Identifiers
  DOI 10.1109/sutc.2008.48
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Min Loading Max Reusability Fusion Classifiers for Sensor Data Model

  2008cited by this paper
• Reliability in Large Wireless Sensor Networks

  2008cited by this paper
• Distributed Wireless Sensor Network Architecture: Fuzzy Logic Based Sensor Fusion

  2007cited by this paper
• Introduction to Data Compression

  2005cited by this paper
• Introduction to Data Compression, Third Edition (Morgan Kaufmann Series in Multimedia Information and Systems)

  2005cited by this paper
• Distributed Bayesian algorithms for fault-tolerant event region detection in wireless sensor networks

  2004cited by this paper
• Data compression

  1987cited by this paper

• EDC-ER: An Efficient Data Compression Method for Energy Reduction in WBANs

  2024cites this paper
• Compression in Wireless Sensor Networks: a survey and the road ahead

  2017cites this paper
• Ensemble stream model for data-cleaning in sensor networks

  2015cites this paper
• Compression in wireless sensor networks

  2013cites this paper
• Design of Linear-Phase Filter Banks with Multiplier-Less Lattice Structures

  2013cites this paper
• ESKA: A Highly Reliable Authentication Protocol Based-on One-way Key Chain for WSN Broadcast

  2013cites this paper
• A Novel Key Chain-Based En-route Filtering Protocol For Wireless Sensor Networks

  2013cites this paper
• Industrial Robot Calibration Using a Virtual Linear Constraint

  2012cites this paper
• INSPIRE: Innovation in Sensor Programming Implementation for RealTime Environment

  2011cites this paper
• Distributed Source Coding for Sensor Data Model

  2011cites this paper
• Cognitive Model Selections in Co-existing Operation of Wireless Sensor Networks

  2010cites this paper
• Effects of channel SNR in mobile cognitive radios and coexisting deployment of cognitive wireless sensor networks

  2010cites this paper
• Distributed Source Coding for Sensor Data Model and Estimation of Cluster Head Errors Using Bayesian and K-Near Neighborhood Classifiers in Deployment of Dense Wireless Sensor Networks

  2009cites this paper
• FARMS: Fusionable ambient renewable MACS

  2009cites this paper
• Reliability Analysis of Component Software in Wireless Sensor Networks Based on Transformation of Testing Data

  2009cites this paper
• Multi-hop scheduling and local data link aggregation dependant Qos in modeling and simulation of power-aware wireless sensor networks

  2009cites this paper
• Min Loading Max Reusability Fusion Classifiers for Sensor Data Model

  2008cites this paper