Abstract
In this paper, an approach for target detection and acquisition with heterogeneous sensor networks through strategic resource allocation and coordination is presented. Based on sensor management and collaborative signal and information processing, low-capacity low-cost sensors are strategically deployed to guide and cue scarce highperformance sensors in the network to improve the data quality, with which the mission is eventually completed more efficiently with lower cost. We focus on the problem of designing such a network system in which issues of resource selection and allocation, system behavior and capacity, target behavior and patterns, the environment, and multiple constraints such as the cost must be addressed simultaneously. Simulation results offer significant insight into sensor selection and network operation, and demonstrate the great benefits introduced by guided search in an application of hunting down and capturing hostile vehicles on the battlefield.
Highlights
With the advancements in technologies, it is becoming increasingly feasible to conceive and deploy large-scale sensor networks for a wide variety of applications such as elderly assistance, traffic control, homeland security, military surveillance, and environmental monitoring [1]
Significant work has gone into the development of algorithms to perform a variety of tasks including detection, localization, classification, identification and tracking of one or more targets in the sensor field, and numerous approaches based on Collaborative Signal and Information Processing (CSIP) have been proposed in the literature, see, for example [2,3]
Processing the signal from distributed but networked sensors collaboratively can be treated as an extension of multi-channel array signal processing, where the multiple sensors are collocated with a typical spacing of half a wavelength of the impinging waves and the centralized algorithms based on the relative phases and amplitudes of the wave across the sensors are utilized to obtain the optimal solutions
Summary
With the advancements in technologies, it is becoming increasingly feasible to conceive and deploy large-scale sensor networks for a wide variety of applications such as elderly assistance, traffic control, homeland security, military surveillance, and environmental monitoring [1]. To illustrate target detection and identification in complex environments with the aid of strategic resource allocation and coordination in heterogeneous sensor networks, we consider a specific problem where a sensor network consisting of UGS and UAVs is deployed on the battlefield, for the purpose of acquiring and eventually capturing the hostile vehicle targets. The vehicles are assumed to consist of three categories: hostile tracked vehicles, hostile wheeled vehicles, and civilian wheeled vehicles In this scenario, the objective is to design rules for coordination and information sharing between UGS and UAVs to reduce the time required for clearing all the hostile vehicles with the constraint of total cost.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
