A combined technique for attack monitoring and risk assessment in MANET routing

Patil, Jayashree S; Sunitha, K. V. N.

doi:10.1109/wocn.2016.7759890

2016 Thirteenth International Conference on Wireless and Optical Communications Networks (WOCN) 2016

DOI: 10.1109/wocn.2016.7759890

|View full text |Cite

A combined technique for attack monitoring and risk assessment in MANET routing

Jayashree S Patil¹,

K. V. N. Sunitha²

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2020

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Markov Model of Wireless Sensor Network Availability

Kolisnyk¹,

Kochkar²,

Kharchenko³

2020

IJC

View full text Add to dashboard Cite

The use of wireless sensor networks (WSN) in industry and for forest fire detection has recently become increasingly popular. Assessment of the availability of such networks is an important task, since they perform essential functions in critical situations. Sensor networks can be used to prevent and detect forest fires, and they must meet high availability requirements. Various options for organizing the WSN system are considered - with and without recovery. For such systems, the paper evaluates the probability of no-failure operation, as well as the readiness function, taking into account the network coverage ratio. In the paper the Markov WSN model for evaluating its availability function is developed taking into account the network coverage area. The obtained graphical dependencies allow us to evaluate how a change in the failure rate of sensors or system equipment affects the availability function value. The goal of this paper is to obtain metrics to assess the availability of system for monitoring forest by WSN and the availability function of a network using the Markov models. A special metric, so-called coverage availability factor is suggested in this paper taking into account different combinations of sensor failures which influence on completeness of monitoring forest fires.

show abstract

Markov Model of Wireless Sensor Network Availability

Kolisnyk¹,

Kochkar²,

Kharchenko³

2020

IJC

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A combined technique for attack monitoring and risk assessment in MANET routing

Cited by 1 publication

References 12 publications

Markov Model of Wireless Sensor Network Availability

Markov Model of Wireless Sensor Network Availability

Contact Info

Product

Resources

About