Dissertation > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation components,parts > Transmitter ( converter),the sensor > Sensor applications

Reaserch on Topology Control and Key Management for Wireless Sensor Networks

Author LuJiaZuo
Tutor ZhuangYi
School Nanjing University of Aeronautics and Astronautics
Course Applied Computer Technology
Keywords Wireless sensor networks Clustering algorithm Key Management Threshold OMNeT
CLC TP212.9
Type Master's thesis
Year 2008
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The wireless sensor network is a new generation of sensor network , has a very broad application prospects . The key technologies involved in wireless sensor networks has become the focus of attention of domestic and foreign researchers . Topology control and security issues for wireless sensor network , the paper studies the key technology for topology control and authentication mechanism . Thesis work as follows : a typical wireless sensor networks topology control mechanisms , such as the combination of the algorithm and the routing protocol , sleep scheduling algorithm based on the direction of the algorithm as well as the hierarchical network and non- hierarchical network algorithm based on node degree , sleep scheduling algorithm compares the characteristics of existing algorithms ; energy and node degree the weights WoED clustering algorithm ; given based on clustering algorithms for topology control and maintenance ; scheduled network model to analyze the energy consumption of the algorithm ; PKI, threshold , and elliptic curve sensor network security knowledge and certification agreement , a pre-shared key model , random key pre - distribution model , as well as other security guide model; CGSR protocol improvements , design routing the algorithm on CGSR - M can be used for communication between the key management in cluster head ; elliptic curve - based signature scheme , the design of key distribution , updates, and certificate services operation processes ; design and initial realization of the key management system based on the clustering KMBC test the performance of the prototype system . The thesis proposes WoED clustering algorithms select Preferences expression by changing the weights to adjust the cluster head according to the specific application environment , thus affecting the entire network topology . WoED algorithm This flexibility makes the algorithm can meet different application needs . Simulation results show that , compared with the maximum node degree algorithm and minimum ID algorithm , WoED algorithm has better robustness .

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