Application of Self-Healing in Wireless Sensor Network: A Survey

Application of Self-Healing in Wireless Sensor Network: A Survey

ISBN13: 9781799824541|ISBN10: 1799824543|EISBN13: 9781799824558
DOI: 10.4018/978-1-7998-2454-1.ch075
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MLA

Zaman, Noor, et al. "Application of Self-Healing in Wireless Sensor Network: A Survey." Sensor Technology: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2020, pp. 1601-1618. https://doi.org/10.4018/978-1-7998-2454-1.ch075

APA

Zaman, N., Jung, L. T., & Ponnusamy, V. (2020). Application of Self-Healing in Wireless Sensor Network: A Survey. In I. Management Association (Ed.), Sensor Technology: Concepts, Methodologies, Tools, and Applications (pp. 1601-1618). IGI Global. https://doi.org/10.4018/978-1-7998-2454-1.ch075

Chicago

Zaman, Noor, Low Tang Jung, and Vasaki Ponnusamy. "Application of Self-Healing in Wireless Sensor Network: A Survey." In Sensor Technology: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1601-1618. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-2454-1.ch075

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Abstract

Wireless Sensor Networks (WSNs) are gaining popularity in many monitoring and event detection areas. But the limitation of low power sensors needs to be further researched to combat the self-healing aspect of sensor networks. Therefore this paper aims to present a survey on application of self-healing routing protocols in wireless sensor networks that have been designed by analyzing their operation, advantages and disadvantages. This presents an outline of each application of the protocol and an idea of how these features could be adapted into future research area in self-healing wireless sensor networks in terms of energy aspect. The self-healing characteristics are mainly derived from biologically-inspired mechanisms for autonomic behavior. Autonomic behavior systems are characterized into four functional systems as self-configuration, self-healing, self-optimization and self-protection. This survey mainly focuses on self-healing characteristics from the biologically-inspired perspectives as well as non-bio-inspired perspectives.

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