@inproceedings{e0a38a3e8cd74dd78f46c1fafcc71f19,
title = "Immune-inspired self healing in wireless sensor networks",
abstract = "Link failure and unreachable nodes due to interference from external devices are common problems in WSNs. These interferences can be a major inhibitor to node performance and network stability. In order to tolerate these failures, we propose an immune-inspired self healing system where an individual node can detect degradations in network performance, perform diagnostic tests, and provide automated immediate response to recover the network to a stable state. We evaluate and compare the performance of our approach with other routing protocols on a testbed environment using TelosB hardware motes.",
keywords = "error classification, error detection, error recovery, receptor density algorithm, routing protocol, wireless sensor networks",
author = "Tionghoo Lim and Huikeng Lau and Jon Timmis and Iain Bate",
year = "2012",
doi = "10.1007/978-3-642-33757-4_4",
language = "English",
isbn = "9783642337567",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "45--56",
booktitle = "Artificial Immune Systems - 11th International Conference, ICARIS 2012, Proceedings",
address = "Switzerland",
note = "11th International Conference on Artificial Immune Systems, ICARIS 2012 ; Conference date: 28-08-2012 Through 31-08-2012",
}