Tracking a sycophant wireless sensor network for its seamless integration to mobile sensor networks

Date

2009-12-14

Author

Dogru, Sedat
Erkmen, Aydan Müşerref
Erkmen, İsmet

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In this paper we introduce our novel concept of Sycophant Wireless Sensors (SWS) which is a static ectoparasitic clandestine sensor network mounted incognito on a mobile agent using only the agent's mobility without intervention. SWS networks not only communicate with each other through mobile WSN but also cooperate with them to form a global hybrid Wireless Sensor Network (WSN). Our work develops the SLAM methodology integrating the different type of mobilities of SWS networks and mobile WSN's where the units of the latter network need also to track SWS besides cooperating and maintaining connectivity between the different SWS networks to form a seamless hybrid sensor network. This paper focuses on that latter issue. Demonstrative results are provided on the experimental setup including performance analysis of the methodology which also is conducted in simulation besides the hardware implementation for an elaborate sensitivity analysis to system parameters.

Subject Keywords

Coverage, Hybrid wireless sensor networks, Mobile robots, Sycophant wireless sensor networks, Tracking

URI

https://hdl.handle.net/11511/83143

DOI

https://doi.org/10.1109/ICASTECH.2009.5409737

Conference Name

IEEE International Conference on Adaptive Science and Technology (14 - 16 Aralık 2009)

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

S. Dogru, A. M. Erkmen, and İ. Erkmen, “Tracking a sycophant wireless sensor network for its seamless integration to mobile sensor networks,” presented at the IEEE International Conference on Adaptive Science and Technology (14 - 16 Aralık 2009), 2009, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/83143.