Efficient Fault Recovery and Network Management in Wireless Sensor Networks

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-08
DOI
https://doi.org/10.5281/zenodo.14992223
Primary Topic
Markov Chains and Monte Carlo Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Efficient Fault Recovery and Network Management in Wireless Sensor Networks

Zenodo (CERN European Organization for Nuclear Research)
Markov Chains and Monte Carlo Methods
article

Efficient Fault Recovery and Network Management in Wireless Sensor Networks

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 56%
Markov Chains and Monte Carlo Methods
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