DocumentCode :
725288
Title :
An algorithm to detect malicious nodes in wireless sensor network using enhanced LEACH protocol
Author :
Das, Semanti ; Das, Abhijit
Author_Institution :
Dept. of Inf. Technol., RCC Inst. of Inf. Technol., Kolkata, India
fYear :
2015
fDate :
19-20 March 2015
Firstpage :
875
Lastpage :
881
Abstract :
Wireless sensor network comprises of small sensor nodes with limited resources. Typical applications of sensor network are Weather monitoring, Civil Applications, Battle field monitoring, Intrusion Detection etc. These sensor networks have limitations of system resources like battery power, communication range and processing capability. Low processing power and wireless connectivity make such networks vulnerable to various types of network attacks. Sensor network uses Low Energy Adaptive Clustering Hierarchy (LEACH), which is a TDMA based MAC protocol that balances the clustering energy, hence the network lifetime is prolonged. As the Cluster-heads are selected randomly so there are some disadvantages regarding LEACH protocol such as if once the CH dies the whole network fails. Hence we propose a new approach in cluster-head selection. In our approach, a modified cluster-head selection algorithm has been proposed based on remaining battery life and distance and detection of malicious nodes in an effective way so that no attack can ruin the normal network operation.
Keywords :
access protocols; pattern clustering; signal detection; time division multiple access; wireless sensor networks; LEACH protocol enhancement; TDMA based MAC protocol; battle field monitoring; civil applications; cluster head selection; clustering energy balancing; intrusion detection; low energy adaptive clustering hierarchy; weather monitoring; wireless connectivity; wireless sensor network failure; wireless sensor network malicious node detection algorithm; Base stations; Batteries; Computers; Floods; Monitoring; Protocols; Wireless sensor networks; Cluster-head; Detection Techniques; LEACH; Malicious nodes; Wireless Sensor Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in
Conference_Location :
Ghaziabad
Type :
conf
DOI :
10.1109/ICACEA.2015.7164828
Filename :
7164828
Link To Document :
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