Title :
Resource-aware clustering based routing protocol in the Internet of Things
Author_Institution :
Dongling School of Economics and Management, University of Science and Technology Beijing, China
Abstract :
Through Ad hoc routing protocol AODVjr and resource-aware data mining algorithms research, a resource-aware clustering based routing protocol in the Internet of Things, RA-AODVjr, is proposed. It solves the short comings of the constrained resources of memory, computing power, and the power energy of the wireless sensor´s terminal node in the Internet of Things. RA-AODVjr protocol is designed combining with the RA-Cluster and AODVjr routing protocol. This protocol selects the best neighbor in the terminal node and balances the network traffic when terminal node resource is constrained, using the relevance of the Ad hoc network. The simulation results show that the agreement achieves load balancing of energy constrained nodes to a certain extent. Compared with the original AODVjr protocol, due to the best neighbor node delivery technology, the local network traffic gets a better balance and less time delay means better choice of routing.
Keywords :
AODVjr; Internet of Things; RA-Cluster; clustering; resource-aware;
Conference_Titel :
Awareness Science and Technology (iCAST), 2012 4th International Conference on
Conference_Location :
Seoul, Korea (South)
Print_ISBN :
978-1-4673-2111-2
Electronic_ISBN :
978-1-4673-2110-5
DOI :
10.1109/iCAwST.2012.6469583