Wireless Sensor Networks (WSNs) are vulnerable to Byzantine attacks in which malicious sensors send falsified information to the Fusion Center (FC) with the goal of degrading inference performance. In this paper, we consider Byzantine attacks for the location estimation task in WSNs using binary quantized data. Posterior Cramér-Rao Lower Bound (PCRLB) is used to characterize the performance of the network. Two kinds of attack strategies are considered: Independent and Collaborative attacks. We determine the fraction of Byzantine attackers in the network that make the FC incapable of utilizing sensor information to estimate the target location. Optimal attacking strategies for given attacking resources are also derived. Furthermore, we propose two schemes for the mitigation of Byzantine attacks. The first scheme is based on a Byzantine Identification method under the assumption of identical local quantizers. We show with simulations that the proposed scheme identifies most of the Byzantines. In order to improve the performance, we propose a second scheme in conjunction with our identification scheme where dynamic non-identical threshold quantizers are used at the sensors. We show that it not only reduces the location estimation error but also makes the Byzantines `ineffective\u27 in their attack strategy
Abstract-Real-time physiological monitoring of athletes during sporting events has tremendous potential for maximizing player performance while preventing burn-out and injury, and also enabling exciting new applications such as referee-assist services and enhanced television broadcast. Emerging advanced monitoring devices have the right combination of light weight and unobtrusive size to allow truly non-intrusive monitoring during competition. However their small battery capacities, limited wireless ranges and susceptibility to body effects make real-time data extraction a challenge, particularly in sports with a large playing area. In this work we present the novel application of body area sensor networks to monitoring soccer players in a soccer field. We begin by outlining the challenges in experimental data collection and elaborate on the design choices we have made. Secondly, we show that the inherent characteristics of the operating environment lead to unacceptably high delays for direct transmissions from the players to the base stations. This leads to our third contribution, namely a multi-hop routing protocol that balances between the competing objectives of resource consumption and delay.
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