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Automated Fault Detection, Diagnosis And Management Of Wsn

Authors: D. P. Mishra*, Ramesh Kumar;

Automated Fault Detection, Diagnosis And Management Of Wsn

Abstract

Sensor networks are dense wireless networks of tiny, low-cost sensors, which collect and sense parameter. Wireless sensor networks facilitate monitoring and controlling of physical environments from remote locations with better accuracy. WSN is having applications in a variety of fields such as environ-mental monitoring; military purposes and gathering sensing information in inhospitable locations. Fault recovery and Network management for Wireless Sensor Network Infrastructure is a challenging area where the management operation is to run on minimal or zero cost. The network data packets routing costs more, hence managing this unstructured network improves the network efficiency and extend the network lifetime. The deployed sensor nodes have a fixed battery life and there are some attempts made to manage this WSN network efficiently to improve the lifetime. In this paper, we focus on different networking parameters and proposed a technique that can be used efficiently for fault recovery and management.

Keywords

WSNs, NMS, Node, Cluster, Cluster head, Fault recovery; Fault management.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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