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Resilient Wireless Sensor Networks [electronic resource] : The Case of Network Coding / by Osameh M. Al-Kofahi, Ahmed E. Kamal.

By: Contributor(s): Material type: TextTextSeries: SpringerBriefs in Electrical and Computer EngineeringPublisher: Cham : Springer International Publishing : Imprint: Springer, 2015Edition: 1st ed. 2015Description: X, 68 p. 55 illus., 49 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319239651
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 004.6 23
Online resources:
Contents:
Introduction -- Network Coding-Based Resilient WSNs: The Centralized Approach -- Network Coding-Based Resilient WSNs: The Distributed Approach -- Physical-Layer Network Coding for Resilient WSNs.
In: Springer eBooksSummary: This Springer Brief introduces wireless sensor networks (WSNs) and the need for resilient WSN operations in application domains. It presents traditional approaches of providing resilient operation of WSNs to ensure continuity of data delivery even when some network sensors fail.   The pros and cons of each these approaches are discussed.  Also included is an overview of network coding basics, and motivate the use of network coding-based protection in order to combine the advantages, but avoid the disadvantages of the traditional approaches. The authors cover the design and analysis of a centralized approach to network coding-based protection of WSNs.  The coverage also includes practical and realistic network situations, and the coding strategies employed. Next discussed is how to recover from data losses using a distributed approach, which is more practical for large scale WSNs.   Algorithms for scheduling of transmissions while implementing network coding-based in the two cases of using digital network coding, and analog network coding are covered.  Resilient Wireless Sensor Networks includes a concise, but an in-depth coverage of the use of network coding to implement  agile and resource efficient protection in WSNs.  It will be of  interest to professionals and researchers working in the areas of fault tolerance, network coding, and deployment of WSNs in harsh environment. Advanced-level students in electrical engineering and computer science will also find this research valuable as a reference.
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Introduction -- Network Coding-Based Resilient WSNs: The Centralized Approach -- Network Coding-Based Resilient WSNs: The Distributed Approach -- Physical-Layer Network Coding for Resilient WSNs.

This Springer Brief introduces wireless sensor networks (WSNs) and the need for resilient WSN operations in application domains. It presents traditional approaches of providing resilient operation of WSNs to ensure continuity of data delivery even when some network sensors fail.   The pros and cons of each these approaches are discussed.  Also included is an overview of network coding basics, and motivate the use of network coding-based protection in order to combine the advantages, but avoid the disadvantages of the traditional approaches. The authors cover the design and analysis of a centralized approach to network coding-based protection of WSNs.  The coverage also includes practical and realistic network situations, and the coding strategies employed. Next discussed is how to recover from data losses using a distributed approach, which is more practical for large scale WSNs.   Algorithms for scheduling of transmissions while implementing network coding-based in the two cases of using digital network coding, and analog network coding are covered.  Resilient Wireless Sensor Networks includes a concise, but an in-depth coverage of the use of network coding to implement  agile and resource efficient protection in WSNs.  It will be of  interest to professionals and researchers working in the areas of fault tolerance, network coding, and deployment of WSNs in harsh environment. Advanced-level students in electrical engineering and computer science will also find this research valuable as a reference.