Average Contact Probability-Based Data Delivery for Delay Tolerant Mobile Sensor Networks

Abstract

The delay tolerant mobile sensor network distinguishes itself from conventional sensor networks by several unique characteristics such as node mobility, loose connectivity, and delay tolerability. Therefore, traditional data gathering methods cannot be applied. In this paper, a novel data gathering method named average contact probability-based data delivery scheme (ACPBD) is proposed. ACPBD introduces centrality metric- average contact probability. The value of nodes average contact probability is calculated which used for choosing the next hop. In order to optimize node queue, ACPBD employs TTL to decide message's transmission and dropping for minimizing transmission overhead. Simulation results have shown that the proposed ACPBD data delivery scheme does not only achieve five times as much long network lifetime as SRAD and FAD, but also get the higher message delivery ratio with lower transmission overhead and data delivery delay than SRAD and FAD