a new algorithm to improve the energy Consumption in wireless sensor networks with energy harvesting.

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.

kelaei alireza; BAKHSHI HAMIDREZA

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

Journal Paper

Paper Information

Journal: ELECTRONIC INDUSTRIES Year:2020 | Volume:11 | Issue:1 Page(s): 51-62

Download Full-Text

Persian Verion

View:

922

Download:

Cites:

Information Journal Paper

Title

a new algorithm to improve the energy Consumption in wireless sensor networks with energy harvesting.

Author(s)

kelaei alireza | BAKHSHI HAMIDREZA | Issue Writer Certificate

Keywords

Wireless Sensor NetworkQ1

Energy harvestingQ1

ClusteringnQ1

LifetimeQ1

Abstract

Wireless Sensor Networks are the most used networks in various industries. There are usually some limitations for using them in practice, because of the limitation of battery capacity and lack of useful Lifetime. Hence, in this study we present an energy efficiency optimization algorithm including clustering, routing and compression methods to increase the Lifetime of sensor nodes. In the proposed algorithm, all nodes use solar Energy harvesting, where at first we determine the weights of each node in certain areas of the network to form the clusters. After selecting the members of each cluster and forming clusters, the information that received by each cluster-head is aggregated and the volume of this information is reduced using a compression algorithm. Then, the compressed information is transmitted to the base station by a combination routing method. In conclusion, simulation results show the average remaining energy of the sensor and the number of live nodes in the proposed algorithm has significantly improved compared to that associated with the NEEC algorithm.

Cites

No record.

References

No record.

Cite

APA: Copy

kelaei, alireza, & BAKHSHI, HAMIDREZA. (2020). a new algorithm to improve the energy Consumption in wireless sensor networks with energy harvesting.. ELECTRONIC INDUSTRIES, 11(1 ), 51-62. SID. https://sid.ir/paper/229561/en

Vancouver: Copy

kelaei alireza, BAKHSHI HAMIDREZA. a new algorithm to improve the energy Consumption in wireless sensor networks with energy harvesting.. ELECTRONIC INDUSTRIES[Internet]. 2020;11(1 ):51-62. Available from: https://sid.ir/paper/229561/en

IEEE: Copy

alireza kelaei, and HAMIDREZA BAKHSHI, “a new algorithm to improve the energy Consumption in wireless sensor networks with energy harvesting.,” ELECTRONIC INDUSTRIES, vol. 11, no. 1 , pp. 51–62, 2020, [Online]. Available: https://sid.ir/paper/229561/en

Related Journal Papers