Loading...
Please wait, while we are loading the content...
Similar Documents
Fuzzy Based Faulty Link Isolation Technique in Dynamic Wireless Sensor Networks
| Content Provider | Semantic Scholar |
|---|---|
| Copyright Year | 2015 |
| Abstract | Transmission link failures are common in both static and dynamic wireless sensor networks due to factors such as sensor node failure, mobility of the nodes, network congestion and interference. These faulty links in a network are needed to be localized and repaired to sustain the health of the network. It is necessary to maintain the dynamic topology of the network to monitor the link quality. Hence, in this paper we adopt the Kinetic PR Quad tree and modify it to maintain the network topology and we have also proposed a Fuzzy-Link Quality Assessment (F-LQA) algorithm to estimate the link quality by considering parameters like asymmetry, energy level of nodes and delay. The proposed algorithm zeroes down to the link responsible for the faultiness of the bad topology. The F-LQA algorithm computes the Malfunction Index (MI) Value which is found to possess an increased reliability due to the inclusion of a variety of parameters for ascertaining the link quality. Therefore the conclusion obtained regarding the link reliability is accurate. The proposed algorithm is found to be more energy efficient than other existing approaches thus extending the network lifetime. Key-Words: Sensor Networks, Localization, Faulty links, Link Quality Assessment, Fuzzy Logic, |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.wseas.org/multimedia/journals/computers/2015/a225705-617.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
