A Multi-objective Ant Colony Optimization Algorithm for Real Time Intrusion Detection Routing in Sensor Network


KIPS Transactions on Computer and Communication Systems, Vol. 2, No. 5, pp. 191-198, May. 2013
10.3745/KTCCS.2013.2.5.191,   PDF Download:

Abstract

It is required to transmit data through shorter path between sensor and base node for real time intrusion detection in wireless sensor networks (WSN) with a mobile base node. Because minimum Wiener index spanning tree (MWST) based routing approach guarantees lower average hop count than that of minimum spanning tree (MST) based routing method in WSN, it is known that MWST based routing is appropriate for real time intrusion detection. However, the minimum Wiener index spanning tree problem which aims to find a spanning tree which has the minimum Wiener index from a given weighted graph was proved to be a NP-hard. And owing to its high dependency on certain nodes, minimum Wiener index tree based routing method has a shorter network lifetime than that of minimum spanning tree based routing method. In this paper, we propose a multi-objective ant colony optimization algorithm to tackle these problems, so that it can be used to detect intrusion in real time in wireless sensor networks with a mobile base node. And we compare the results of our proposed method with MST based routing and MWST based routing in respect to average hop count, network energy consumption and network lifetime by simulation.


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Cite this article
[IEEE Style]
S. H. Kang, "A Multi-objective Ant Colony Optimization Algorithm for Real Time Intrusion Detection Routing in Sensor Network," KIPS Transactions on Computer and Communication Systems, vol. 2, no. 5, pp. 191-198, 2013. DOI: 10.3745/KTCCS.2013.2.5.191.

[ACM Style]
Seung Ho Kang. 2013. A Multi-objective Ant Colony Optimization Algorithm for Real Time Intrusion Detection Routing in Sensor Network. KIPS Transactions on Computer and Communication Systems, 2, 5, (2013), 191-198. DOI: 10.3745/KTCCS.2013.2.5.191.