Frog call-inspired self-organizing anti-phase synchronization for wireless sensor networks

In this paper, we focus on the calling behavior of Japanese tree frogs, which make calls alternately with their neighbors in order to increase the probability of mating. This behavior can be applied in phase control which realizes collision-free transmission scheduling in wireless communication. We propose a self-organizing scheduling scheme inspired by this frog calling behavior for reliable data transmission in wireless sensor networks. Simulation results show that our proposed method for phase control is capable of reducing data transmission failures and improves the data collection ratio up to 24% compared to a random transmission method.

[1]  Radhika Nagpal,et al.  DESYNC: Self-Organizing Desynchronization and TDMA on Wireless Sensor Networks , 2007, International Symposium on Information Processing in Sensor Networks.

[2]  Kazuyuki Aihara,et al.  Dynamical Calling Behavior Experimentally Observed in Japanese Tree Frogs (Hyla japonica) , 2007, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

[3]  Ying-Cheng Lai,et al.  ANTIPHASE SYNCHRONISM IN CHAOTIC SYSTEMS , 1998 .

[4]  L. Trueb,et al.  Biology of Amphibians , 1986 .

[5]  Tarek F. Abdelzaher,et al.  Towards optimal sleep scheduling in sensor networks for rare-event detection , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[6]  Hiroaki Kitano,et al.  Biological robustness , 2008, Nature Reviews Genetics.

[7]  S. Strogatz,et al.  Synchronization of pulse-coupled biological oscillators , 1990 .

[8]  Hichem Frigui,et al.  Self-Organization of Pulse-Coupled Oscillators with Application to Clustering , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  K. Sekiyama,et al.  Phase diffusion time division method for wireless communication network , 2004, 30th Annual Conference of IEEE Industrial Electronics Society, 2004. IECON 2004.

[10]  Murata Masayuki,et al.  Evaluation of robustness in time synchronization for sensor networks , 2007 .

[11]  D. Blumstein Acoustic Communication in Insects and Anurans : Common Problems and Diverse Solutions , 2002 .

[12]  Ying Zhang,et al.  Improvements on Ant Routing for Sensor Networks , 2004, ANTS Workshop.

[13]  Kazuyuki Aihara,et al.  Mathematical modeling of frogs’ calling behavior and its possible application to artificial life and robotics , 2008, Artificial Life and Robotics.

[14]  Adrian Perrig,et al.  ACE: An Emergent Algorithm for Highly Uniform Cluster Formation , 2004, EWSN.

[15]  Falko Dressler,et al.  Self-organization in sensor and actor networks , 2007, Wiley series in communications networking and distributed systems.

[16]  Radhika Nagpal,et al.  Towards Desynchronization of Multi-hop Topologies , 2008, 2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems.