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This paper investigates the feasibility of a mesh network of proximity sensors to track multiple targets. In such a network, the sensors report a detection when a target is within the proximity; otherwise, the sensors report no detection. Previous work has revealed the potential of target localization and tracking for a single target using these binary reports. This work introduces a particle-based...
Extending the lifetime of wireless sensor networks requires energy-conserving operations such as duty-cycling. However, such operations may impact the effectiveness of high fidelity real-time sensing tasks, such as object tracking, which require high accuracy and short response times. In this paper, we quantify the influence of different duty-cycle schemes on the efficiency of bearings-only object...
This works presents the maximum likelihood localization (ML) algorithm for multi-target localization using proximity-based sensor networks. Proximity sensors simply report a single binary value indicating whether or not a target is near. The ML approach requires a hill climbing algorithm to find the peak, and its ability to find the global peak is determined by the initial estimates for the target...
This work provides a design method to achieve a specified probability of resolution for two target localization via a wireless network of proximity sensors. Proximity sensors simply report a single binary value indicating whether or not a target is near. The design provides the density and threshold settings to achieve the given probability of resolution for targets separated by a specified distance...
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