A sensor network performance inference algorithm based on passive measurement

Yu Yang, Yongjun Xu, Xiaowei Li

Abstract: Wireless sensor networks need energy-efficient mechanisms of performance measurement for various aspects of network design, optimization and management. In this paper, we take into account the unique data aggregation communication paradigm of wireless sensor networks: the network performance can be measured by exploiting whether application data from various sensor nodes reach the sink, without incurring any additional overhead of active probes or performance reports. Then we present a novel algorithm, which can infer sensor network topology and link loss performance simultaneously. Finally, we validate the algorithm through simulations and it exhibit ts good performance and scalability.