کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4943582 1437628 2017 27 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Enhancing the reliability on data delivery and energy efficiency by combining swarm intelligence and community detection in large-scale WSNs
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Enhancing the reliability on data delivery and energy efficiency by combining swarm intelligence and community detection in large-scale WSNs
چکیده انگلیسی
In Wireless Sensor Networks (WSNs) to address the duality between the cost-effective energy efficiency and the reliable data delivery is a relevant issue. This paper presents a novel bio-inspired routing protocol, named CB-RACO, that combines the Ant Colony Optimization (ACO) meta-heuristic with the computationally cheap and distributed community detection technique Label Propagation (LP). CB-RACO creates communities in the WSNs and meets the balance of energy consumption by routing data inside-communities through swarm intelligence. As a consequence, CB-RACO demands low memory and overhead in construction and maintenance of routing paths. Additionally, CB-RACO achieves high data delivery reliability through a data retransmission strategy based on acknowledgments between communities. We simulated CB-RACO in large-scale scenarios according to the goodput, delivery delay and energy consumption metrics. The results have shown that the proposed approach may provide significant improvement in comparison to ant-based strategies that do not rely on community structures.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 78, 15 July 2017, Pages 89-102
نویسندگان
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