The paper proposed a Wireless Sensor Network (WSN)’s Sybil node discovery method based on groups relative location information. By setting the distributed algorithm of node group, the relative locations of each node with its surrounding and interactive nodes are analyzed location, interactions of surrounding location information are done by a certain mechanism. According to group location information and data filed, the clustering analysis of location information is carried out. This is used to discover the nodes which are obviously closer than others location. Therefore recognition and tolerance of Sybil nodes are implemented. The simulation results indicate that the proposed method has much lower computational cost and implements load balancing among different nodes,. In addition, the proposed method is able to discover Sybil nodes in wireless sensor networks timely as well.
[1]
Zhu Fan,et al.
The Study of Dynamic Degree Weighted Centroid Localization Algorithm Based on RSSI
,
2011
.
[2]
Ian F. Akyildiz,et al.
Wireless sensor networks: a survey
,
2002,
Comput. Networks.
[3]
Wen-Chung Chang,et al.
Detecting Sybil attacks in Wireless Sensor Networks using neighboring information
,
2009,
Comput. Networks.
[4]
Marco Dorigo,et al.
Optimization, Learning and Natural Algorithms
,
1992
.
[5]
David A. Wagner,et al.
Security in wireless sensor networks
,
2004,
SASN '04.
[6]
John R. Douceur,et al.
The Sybil Attack
,
2002,
IPTPS.
[7]
James Kennedy,et al.
Particle swarm optimization
,
2002,
Proceedings of ICNN'95 - International Conference on Neural Networks.