Affiliations: Department of Computer Science, Tunghai University,
Taichung Boulevard, Taichung, Taiwan | Department of Computer Science and Engineering,
National Chung-Hsing University, Taichung, Taiwan
Abstract: Power efficiency is a crucially important issue in the IEEE
802.15.4/ZigBee sensor networks (ZSNs) for majority of sensor nodes equipped
with non-rechargeable batteries. To increase the lifetime of sensor networks,
each node must optimize power consumption as possible. Among open literatures,
much research works have focused on how to optimally increase the probability
of sleeping states using multifarious wake-up strategies. Making things
different, in this article, we propose a novel optimization framework for
alleviating power consumption of sensor node with the D-policy M/G/1 queuing
approach. Toward green sensor field, the proposed power-saving technique can be
applied to prolong the lifetime of ZSN economically and effectively. For the
proposed data aggregation model, mathematical framework on performance measures
has been formulated. Data simulation using MATLAB tool has been conducted for
exploring the feasibility of the proposed approach. And also we analyze the
average traffic load per node for tree-based ZSN. Focusing on ZigBee routers
deployed at the innermost shell of ZSN, network simulation results validate
that the proposed approach indeed provides a feasibly cost-effective approach
for prolonging lifetime of ZSNs.
Keywords: Queuing theory, optimization, ZigBee sensor network, IEEE 802.15.4 standard
