Evaluating the Impact of Environmental Conditions on Wireless Sensor Nodes Using Stochastic Reward Nets

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Naghash Asadi Ali

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: AUT Journal of Modeling and Simulation Year:2023 | Volume:55 | Issue:2 Page(s): 317-326

Download Full-Text

View:

Download:

Cites:

Information Journal Paper

Title

Evaluating the Impact of Environmental Conditions on Wireless Sensor Nodes Using Stochastic Reward Nets

Author(s)

Naghash Asadi Ali | Issue Writer Certificate

Keywords

Wireless sensor networks (WSNs)

Battery

environmental conditions

Stochastic Reward Nets (SRN)

modeling and evaluation

Abstract

wireless sensor networks (WSNs) are one of the most important distributed computing systems and environmental conditions have a great impact on their functionality. Some sensor nodes in WSNs have a Battery as the power source and use renewable energy such as solar energy to charge it. If the batteries are not charged by harvesting energy from the environment, the tasks of the sensor nodes will fail. To prevent it, the sensor nodes can also decide to migrate tasks to neighbor nodes based on their Battery status. On the other, the arrival rate of tasks at day hours is more than the arrival rate of tasks at night hours, but the charging rate of batteries is higher during the day than at night. Therefore, decisions of WSNs should be based on information from environmental conditions. The different arrival rates of tasks and charge rates of the batteries at day and night hours as the main environmental conditions have been ignored in the modeling of WSNs. In this paper, we model a WSN node using Stochastic Reward Nets (SRN) and then compute the steady-state probabilities of processing, failure, and migration of tasks and evaluate the impact of different environmental conditions on them in the WSNs. The results prove that changing the charge rate has a greater impact on the WSN functionality than changing the arrival rate.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans