• Dimple Sharma
• Preeti Bansal

The proposed model is based upon the WSN routing to resolve the routing related issues in the traditional WSN networks. This model is designed with dynamic network routing to predict the trust value of the sensor node. This trust values helps the routing algorithm to take decision on involvement of the node in the appropriate path. The idea behind the trust value is to eliminate the attack nodes from the routing paths in the network cluster, which is supposed to improve the network performance. In most of cases, the major reason behind data drop in sensor networks lies in the network attacks, connectivity holes and non-target nodes influenced by the network attacks. The proposed dynamic network routing is designed on the basis of three performance parameters, which includes the transmission delay, throughput and distance. These parameters are classified in the terms of low, medium or high, and the different combinations of these parameters returns the different trust values of network nodes. A sensor node is typically classified in five categories, which involves very high, high, medium, low and very low options. The dynamic network routing based routing model is combined with Dijkstra shortest path algorithm to discover the shortest and smartest paths among the given network segment. The proposed model is designed with aim to improve the overall performance of the sensor networks by eliminating the attack nodes. This model verifies the trust value of each next-hop node, when choosing the path between sources and destinations.

Smart City routing, Optimized routing, Shortest path first, Smart path.

"Dynamic & Smart Path Selection Mechanism for Congestion Avoidance on IOT Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.201-206, November-2018, Available :http://www.jetir.org/papers/JETIR1811428.pdf

"Dynamic & Smart Path Selection Mechanism for Congestion Avoidance on IOT Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp201-206, November-2018, Available at : http://www.jetir.org/papers/JETIR1811428.pdf