An Adaptive Probability Broadcast-Based Data Preservation in Wireless Sensor Networks

In some wireless sensor networks deployed in harsh environment, it may not be feasible to deploy a sink to keep connection with it. In order to prevent data loss due to exhaustion of nodes limited energy or physical damage, each node should disseminate its data to a subset of nodes in the network for storage. However, since each node only knows its local information and just has limited storage space, the processes of data dissemination and storage are hard to be controlled. An adaptive probability broadcast-based data preservation protocol, APBDP, is proposed to solve this problem. In APBDP, each node adopts an adaptive probability broadcast mechanism to disseminate its data. The mechanism can not only make all nodes receive each data packet, but also reduce the redundancy transmission of packets. Therefore, nodes energy is conserved effectively. Moreover, each node stores the data received by LT codes. After all data are stored, a collector can recover all data as long as it visits a small subset of nodes in the network. Theoretical analysis and experiments show that APBDP can achieve higher decoding performance and energy efficiency than existing protocols.