A Lost Data Recovery Scheme for Sensor Data Stream Multicasting

Abstract

Abstract:In this paper, we propose a lost data recovery scheme called the synchronized recovery stream merging (SRSM) for sensor data stream multicasting in the unstable networks of the IoT applications. We propose two types of SRSM. The first one is "Latency-aware synchronized recovery stream merging (SRSM-L)" for IoT applications that has restrictions of acceptable latency. The other is "Bandwidth-dependent synchronized recovery stream merging (SRSM-B)" for the cases in which the network bandwidth for the sender is limited. Our proposed schemes reduce the number of the streams managed by the sender by waiting for other recovery streams to synchronize the delivery timing and merging. From our simulation evaluations, we confirmed that our proposed schemes save network bandwidth on the sender in the random and burst failure situations. We confirmed that SRSM-L could reduce the network bandwidth of the sender about 52% in the random failure situation, keeping the acceptable latency. We also confirmed that SRSM-B could keep the specified number of streams constant and the latency overheads small in the burst failure situation.

A Sensor Data Stream Collection Scheme Considering Phase Differences for Load Balancing

“…Related to the distributed stream data collection, various techniques have been proposed to disperse the communication loads for stream delivery (Shen et al, 2011;Win et al, 2018).…”