Energy Consumption Analysis based on Compressive Sensing Model in Wireless Sensor Networks

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.

Ghaderi Mohammad Reza; Tabataba Vakili Vahid; Sheikhan Mansour

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

Journal Paper

Paper Information

Journal: SIGNAL AND DATA PROCESSING Year:2023 | Volume:20 | Issue:2 Page(s): 195-210

Download Full-Text

Persian Verion

View:

Download:

Cites:

Information Journal Paper

Title

Energy Consumption Analysis based on Compressive Sensing Model in Wireless Sensor Networks

Author(s)

Ghaderi Mohammad Reza | Tabataba Vakili Vahid | Sheikhan Mansour | Issue Writer Certificate

Keywords

Wireless sensor networkQ4

Compressive sensingQ4

Energy modelQ4

Compressive data gatheringQ4

Abstract

Nowadays, Wireless sensor networks (WSNs) have found many applications in a variety of topics. The main purpose of these networks is to measure environmental phenomena and to send read data in multi-hop paths to the sink to be exploited by users. The most important challenge in WSNs is to minimize energy consumption in sensor batteries and increase network lifetime. One of the most important techniques for reducing energy consumption in WSNs is the Compressive sensing (CS) technique. CS reduces network energy consumption by reducing data transmission in the network and increasing the network lifetime. The use of CS technique in a WSN results in the production of different models of CS signals. These models are based on spatial, temporal and spatio-temporal sensors readings. On the other hand, in order to overcome the challenge of energy consumption, the exact recognition of energy resources in the network is essential. Energy consumption in a sensor node can be divided into two parts: (a) the energy used for computing, and (b) the energy consumed by the communication. The energy used for the computing consists of three components: 1. sensor energy consumption (data reading), 2. background energy consumption, and 3. energy consumption for processing. The power consumption of the communication includes the following: 1. energy consumption for data transmission, 2. energy consumption for data receiving, 3. energy consumption for sending messages, and 4. energy consumption for receiving messages. Hence, the existence of a model for analyzing energy consumption in a CS-based WSN is necessary. Several models have been developed to analyze energy consumption in a WSN, but there is not a complete model for analyzing energy consumption in a CS-based WSN. In this paper, we study all energy consumption components mentioned above in a CS-based WSN and present a complete model for energy consumption analysis. This model can optimize the design of CS-based WSNs energy efficiency improvement approach. To evaluate the proposed model, we use this model to analyze energy consumption in the Compressive data gathering technique which is a CS-based data aggregation method. Using this model can optimize the design of CS-based WSNs.

Cites

No record.

References

No record.

Cite

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops