Perormance Analysis of a Node Monitoring Protocol in Ubiquitous Networks

The proliferation of the ubiquitous applications in different sphere of life like ubiquitous health monitoring system, and ubiquitous learning system demands the network monitoring, to check whether the nodes are getting the promised resources and inputs. Dynamicity and heterogeneity of the ubiquitous network adds challenges to the monitoring of a node because of node's mobility and migration between heterogeneous networks. The network monitors the health condition of a node by supervising the network status, like data rate, delay, energy and throughput, as well as events such as node failure, network failure and fault in the network. In this paper, we propose a node monitoring protocol to monitor the health condition and behavior of a Unode (Ubiquitous application node) in a ubiquitous network using agents (both static and mobile). The mobile agents follow the Unode by migrating to the subnetwork (where the Unode is about to migrate), and collect network resource availability status and requirement of the Unode. We deploy a static agent which has complete information about all Unodes on their mobility and health conditios, etc. The past behavior of the applications and networks, and history of the Unode and the predecessors are taken into consideration to help static agent to take appropriate decision during the time of emergency situations like unavailability of resources at the local administration, and to predict the migration of the Unode. We have simulated different ubiquituous applications with Unodes range from 50 to 100 and tested the designed node monitoring protocol. We have built the analytical model of the node monitoring protocol using Markov chain concept. The results obtained reflects the effectiveness of the technique.