Abstract
The increasingly complex roles for which wireless sensor networks (WSNs) are being employed have driven the desire for autonomic self-organized capabilities for coordinated network operation. A biological task mapping and scheduling (BTMS) algorithm is presented in this paper to execute an application using a group of nodes. BTMS is inspired from biological behaviors of differentiation in zygote formation. Simulation results show that BTMS leads to improved network lifetime, energy consumption and service time compared with other commonly used algorithms.
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