Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
The cricket compass for context-aware mobile applications
Proceedings of the 7th annual international conference on Mobile computing and networking
Calibration as parameter estimation in sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Robust distributed network localization with noisy range measurements
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
A relative positioning system for co-located mobile devices
Proceedings of the 3rd international conference on Mobile systems, applications, and services
Distributed localization of networked cameras
Proceedings of the 5th international conference on Information processing in sensor networks
Distributed localization using noisy distance and angle information
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
Virtual high-resolution for sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
An empirical study of collaborative acoustic source localization
Proceedings of the 6th international conference on Information processing in sensor networks
Some problems of directional sensor networks
International Journal of Sensor Networks
Distributed optimal estimation from relative measurements for localization and time synchronization
DCOSS'06 Proceedings of the Second IEEE international conference on Distributed Computing in Sensor Systems
A survey of communication/networking in Smart Grids
Future Generation Computer Systems
RETRACTED: Impacts of sensor node distributions on coverage in sensor networks
Journal of Parallel and Distributed Computing
International Journal of Sensor Networks
An adaptive localisation algorithm of mobile node in wireless sensor network
International Journal of Sensor Networks
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As opposed to conventional omni-directional sensor networks, directional sensors have appeared in recent applications such as acoustic source localisation and vision sensor networks. In this paper we consider a localisation problem of 2-D directional sensor networks that contain a subset of static anchor nodes. All sensors are assumed to recognise the global north exactly through the operation of equipped compass. We introduce a distributed strategy to calibrate the position of non-anchor sensors. In our approach, directional sensors measure relative range and bearing with respect to neighbouring nodes. Moreover, sensors enable low complexity motion (rotation) to compensate the confined field of view and improve relative bearing measurements. We discuss the localisation accuracy as a function of deployment density and bearing granularity. Using noisy distance and bearing (angular) information allows sensors to compute position estimate that asymptotically approaches ground truth given sufficiently high deployment density. We evaluate the performance through simulations.