1 / 7

Uncertainty in Wireless Sensor Networks

This research discusses the significant role of uncertainty in Wireless Sensor Networks (WSNs) and its impact on various applications such as habitat monitoring, military surveillance, and intelligent transportation systems. Uncertainty arises from natural unpredictability and limitations in capturing real-world data, categorized into communication, sensing, and data uncertainties. Key challenges include modeling link quality and network connectivity, implementing probabilistic routing, and managing uncertain data effectively. Strategies for improving reliability and operational efficiency in WSNs are explored.

ally
Télécharger la présentation

Uncertainty in Wireless Sensor Networks

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Uncertainty in Wireless Sensor Networks Wang-Chien Lee Pennsylvania State University wlee@cse.psu.edu

  2. Motivating WSN Applications • Habitat monitoring • Military surveillance • Intelligent transportation system • Human healthcare system • Food quality monitoring • …

  3. Uncertainty in WSN Applications • Uncertainty is a major issue in WSN applications • Uncertainty is inherent from nature – difficult to predict • Uncertainty is often caused by our limited ability in capturing the reality • Three Aspects of Uncertainty in WSN • Communication uncertainty • Sensing uncertainty • Data uncertainty

  4. Communication Uncertainty • Asymmetric wireless links • Unreliable link quality • Intermittent connections

  5. Sensing Uncertainty

  6. Data Uncertainty • Limits in sensing devices p 0.4 0.3 0.3 70 60 65 temp • Limits in information • extraction techniques Possible values It is about 60 – 70 F

  7. Challenges • Uncertainty modeling in link quality • Uncertainty modeling in network connectivity • Probabilistic routing • Sensing coverage • Uncertain data management • In-network probabilistic query processing

More Related