Perception and Response Model of Danger Signal Based on Immune Peril Principle

DOI

10.2991/icwcsn-16.2017.93How to use a DOI?

Keywords

Immune peril principle; Internet of Things perception layer; danger degrees of signal; perception, response

Abstract

Danger signal perception and response model of perception layer in IoT based on immune peril principle (DSPRM-IPP) and related algorithms were proposed. DSPRM-IPP model includes immunologic tolerance module, danger perception and accumulation module and response module. Immunologic tolerance module's duty is screening detector which is not matching with autologous collection at the beginning of the sensing layer node deployment, it also constantly adjust to the current detector according to the working environment in process of perception. Danger perception and accumulation module is responsible for the danger signal recognition and accumulation, and detector set generated by immunologic tolerance module is used to determine whether the current signal is danger signal or not. Appropriate response strategy will be taken according to the results of comparing potential cost and response cost in response module. The experimental results show that DSPRM-IPP effectively detects the danger with a low rate of false positives, it also has good adaptability that could adjust constantly according to the working environment and node proportion of residual energy.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Min-Sheng Tan
AU  - Chen-Cheng Wang
AU  - Miao Guo
AU  - Zhi-Guo Zhao
AU  - Ting Xiang
PY  - 2016/12
DA  - 2016/12
TI  - Perception and Response Model of Danger Signal Based on Immune Peril Principle
BT  - Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
PB  - Atlantis Press
SP  - 447
EP  - 452
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.93
DO  - 10.2991/icwcsn-16.2017.93
ID  - Tan2016/12
ER  -