Abstract
In this study, we introduce a link quality based error correction technique for the self-healing WSN. Using the link adaptation algorithm the link quality is measured. And the relay nodes is selected by using the Link Quality Index (LQI) value, such that if the LQI value of a node is above the threshold value it will be chosen as a Relay node. These Relay nodes collect the data from the sensor nodes and apply Forward Error Correction (FEC) by partially decoding the incoming channel-coded data using lesser number of iterations. The FEC provides reliability with lesser transmission power. The quantity of FEC encoding is adaptively adjusted based on the measured link quality values. Multi-path routing is used in order to avoid data loss during the data transmission. With this, the data loss due to faulty path is avoided.
Highlights
Self-healing sensor network: Autonomic computing brings together different disciplines of computer science to promote self-managing systems that adapt to their operating environment and user needs
The quantity of Forward Error Correction (FEC) encoding is adaptively adjusted based on the measured link quality values
The relay nodes is selected by using the Link Quality Index (LQI) value, such that if the LQI value of a node is above the threshold value it will be chosen as a Relay node
Summary
Self-healing sensor network: Autonomic computing brings together different disciplines of computer science to promote self-managing systems that adapt to their operating environment and user needs. As the wireless sensor nodes could be placed in a region where an adversary can capture them, it is likely that it could extract the secret key and would be able to monitor all communication in the network (Shantilal, 2013). Problem identification and objectives: Kyasanur and Vaidya (2006), both node adaptation and link adaptation algorithms are vulnerable to security attacks such as denial of service attack and deny of sleep attack In their proposed approach when the network density increases the energy consumption ratio increases in linear fashion. This will decrease the packet loss, end-to-end delay and improves the packet delivery ratio (Qaisar and Radha, 2007; Marinkovic and Popovici, 2009)
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