An Energy Efficient and Traffic Aware Data Fusion Scheme for Water Pollution Monitoring

  title={An Energy Efficient and Traffic Aware Data Fusion Scheme for Water Pollution Monitoring},
  author={Emami Yousef and Javidan Reza and Keshtgari Manijeh},
  journal={Indian journal of science and technology},
Background/Objectives: One of the main application of underwater wireless sensor network is water pollution monitoring. Therefore it is proposed to use an energy efficient and traffic aware data fusion scheme (ETDFS) for this kind of application. Methods: Data fusion comprises preprocessing and processing steps. In the preprocessing step, a probabilistic data structure entitled bloom filter is used to reduce the number of transmissions and save precious energy. In the processing step, a cost… Expand
Energy consumption is a very big challenge in Wireless Sensor Networks (WSN) as the battery power of sensor is limited and limited storage capacity. In real time environment, large no of sensors areExpand
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Wireless Sensor Networks
  • D. Brunelli
  • Computer Science
  • Lecture Notes in Computer Science
  • 2012
An overview of this new and exciting field of wireless sensor networks is provided and a brief discussion on the factors pushing the recent flurry of sensor network related research and commercial undertakings is discussed. Expand
CAPTRA: coordinated packet traceback
  • D. Sy, L. Bao
  • Computer Science
  • 2006 5th International Conference on Information Processing in Sensor Networks
  • 2006
CAPTRA is proposed, a coordinated packet traceback mechanism for wireless sensor networks (WSNs) that takes advantage of the broadcasting nature of the packet transmissions and requires only small memory footprint on the sensors, and allows sensors to asynchronously refresh the Bloom filters so that the network traffic is continuously monitored. Expand
Handbook of Multisensor Data Fusion
MULTISENSOR DATA FUSION Introduction to Multisensor Data Fusion, D. Hall and J. Llinas The JDL Data Fusion Process Model, A. Steinberg and C. Bowman Introduction to the Algorithms of Data AssociationExpand