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
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله

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
Journal: Expert Systems with Applications - Volume 78, 15 July 2017, Pages 89-102
نویسندگان
Valério Rosset, Matheus A. Paulo, Juliana G. Cespedes, Mariá C.V. Nascimento,