GPS-Free Positioning in Mobile ad-hoc Networks
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 9 - Volume 9
Localization for mobile sensor networks
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Wireless sensor network localization techniques
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Ad Hoc Networks
Error control in distributed node self-localization
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ACM Transactions on Sensor Networks (TOSN)
On asymptotically optimal routing in large wireless networks and Geometrical Optics analogy
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Computers and Electronics in Agriculture
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International Journal of Communication Systems - Secure communications and data management in ubiquitous services
Organizing a global coordinate system from local information on an ad hoc sensor network
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Relative location estimation in wireless sensor networks
IEEE Transactions on Signal Processing
Robust localization over obstructed interferences for inbuilding wireless applications
IEEE Transactions on Consumer Electronics
Positioning in ad hoc sensor networks
IEEE Network: The Magazine of Global Internetworking
Wireless Personal Communications: An International Journal
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Future sensor networks may be composed of a large number of low cost sensors, also known as "smart-dust". A simple measure for the distance between any two sensors is the number of re-broadcasts that is necessary to send a message between them. We wish to determine to what extent this so called hop distance provides a useful estimate of the geometric distance between the sensors and can thus be used to derive a map of the network. For the present paper we simulated a number of networks and determined hop distance distributions. We also considered heterogeneity of sensor density and hop range, which is to be expected when a network will be delivered on a featured terrain. Our results demonstrate that, with a proper calibration, hop distance can provide a reliable estimate for geometric distance, provided that the minimum (local) sensor density is sufficient and that hop range heterogeneities do not extend over large regions of the network.