Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/509478
Title: | An energy efficient aggregation and load balanced clustering technique for wireless sensor networks |
Researcher: | Loganathan D |
Guide(s): | Balasubramani M |
Keywords: | Computer Science Computer Science Artificial Intelligence Engineering and Technology Sensor Networks telecommunications Wireless communication |
University: | Anna University |
Completed Date: | 2022 |
Abstract: | Wireless communication is one of the latest technologies, ranging from global cellular telecommunications systems to local networks that play a major role in modern life. Wireless Sensor Networks (WSNs) include a large number of low-cost and power-constrained sensor nodes that communicate with each other within their radio range. Periodically, the sensor nodes detect the data, process it, and then they need to forward the sensed data to the sink. In WSNs, the basic philosophy can be explained as, although the capacity of each sensor node is reduced, the overall strength of the entire network is sufficient for the role to be performed. newline newlineRouting in WSNs has a dominant responsibility for wireless communication from source to destination. The specifications to be addressed when developing routing protocols for the WSNs are the power, bandwidth, and resource constraints of the sensor nodes and the probability of packet loss and delay. The goal of this study is to suggest and improve WSNs with optimal routing schemes. The suggested routing systems address and solve the clustering-based routing algorithm problems and discuss the problems of the WSNs by using our inputs. newline newline |
Pagination: | xiii, 112p. |
URI: | http://hdl.handle.net/10603/509478 |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 21.97 kB | Adobe PDF | View/Open |
02_prelim.pdf | 362.69 kB | Adobe PDF | View/Open | |
03_content.pdf | 8.33 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 7.07 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 116.84 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 81.97 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 302.92 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 254.99 kB | Adobe PDF | View/Open | |
09_annexures.pdf | 71.15 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 77.43 kB | Adobe PDF | View/Open |
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