Abstract: - In time-critical and data intensive applications, efficient acquisition of sensitive datasets is a challenge because of network congestion, void regions and node failures that commonly occur in wireless sensor networks (WSN), while monitoring the wellbeing of patients with serious medical conditions. The sensor devices attached to such patients are used for monitoring the vital signs of those with serious heart problems, Parkinson disease, Epilepsy and high blood pressure. This paper typically focuses on the reliable acquisition of datasets and provides a fault-tolerant priority based routing scheme with Dynamic Jumping (FTMPR-DJ) for the energy-efficient acquisition and dissemination of datasets. A new fault-tolerant scheme has been proposed that will significantly minimize data loss and network congestion and is well supported with extensive experiments to show effectiveness of the proposed routing scheme.
Reliable acquisition of data from massively dense wireless sensor networks (WSN) is a challenge due to the unpredictable behaviour of nodes responsible for collecting and disseminating datasets of interest. Therefore, accurate sensing of events from nodes depend on several microscopic and macroscopic factors such as distance of a node from the sink, radio signal strength and connectedness of network for routing datasets to the nearest sink. Several Clustering schemes have been proposed for routing datasets, where major focus was on finding the next cluster-head with maximum energy for routing data. Such schemes are not suitable for the real-time dissemination of datasets because electing the next cluster-head is a computational intensive process. A new energy-efficient self-stabilizing sliding rectangle protocol (ESSRP) is proposed in this paper for ensuring reliability and connectedness of regions for minimizing data loss and prolonging network life. The proposed scheme not only looks at the energy-balance of a particular cluster but also ensures fault-localization and tolerance by providing self-stabilization to network in the event of nodes or links failure using Green’s Theorem. The WSN rectangular regions should be oriented counter-clockwise, piecewise regular and continuously differentiable so that faults can be efficiently localized, identified and rectified in a particular region