A Cellular Automata Bioinspired Algorithm Designing Data Trees in Wireless Sensor Networks | Zendy

MichailAntisthenis Tsompanas | Zendy; Richard Mayne | Zendy; Georgios Ch. Sirakoulis | Zendy; Andrew Adamatzky | Zendy

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A Cellular Automata Bioinspired Algorithm Designing Data Trees in Wireless Sensor Networks

Author(s) -

MichailAntisthenis Tsompanas,

Richard Mayne,

Georgios Ch. Sirakoulis,

Andrew Adamatzky

Publication year - 2015

Publication title -

international journal of distributed sensor networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.324

H-Index - 53

eISSN - 1550-1477

pISSN - 1550-1329

DOI - 10.1155/2015/471045

Subject(s) - computer science , physarum polycephalum , cellular automaton , wireless sensor network , robustness (evolution) , distributed computing , automaton , wireless , computer network , algorithm , theoretical computer science , telecommunications , biochemistry , chemistry , gene , biology , microbiology and biotechnology

Several studies present methods to economize energy in wireless sensor networks (WSNs) which is one of the most confining resources in these systems. This paper presents a bioinspired, cellular automata (CA) based model for constructing data trees that connect all nodes with a sink node. Nonetheless, the proposed model takes into consideration not only the proximity between two nodes but also their remaining available energy. Consequently, by avoiding nodes with nearly depleted energy sources, the life time of the network can be prolonged. The plasmodium of Physarum polycephalum is the inspiration for the proposed model, as it has proved its robustness in graphically expressed problems. Moreover, CAs are able to encapsulate the parallel dynamics of the model and, thus, achieve a very fast execution.

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