Bulk data dissemination in wireless sensor networks: Modeling and analysis |
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| Authors: | Wei Dong Chun Chen Xue Liu Guodong Teng Jiajun Bu Yunhao Liu |
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| Affiliation: | 1. Zhejiang Provincial Key Laboratory of Service Robot, College of Computer Science, Zhejiang University, Hangzhou 310027, PR China;2. School of Computer Science, McGill University, Montreal, Quebec, Canada H3A 0E9;3. Institute of Service Engineering, Hangzhou Normal University, Hangzhou, 310036, China;4. School of Software and TNLIST, Tsinghua University, PR China;1. Departamento de Química, Facultad de Ciencias Exactas, Físico-Químicas y Naturales, Universidad Nacional de Río Cuarto, 5800 Río Cuarto, Argentina;2. Departamento de Química, Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Mar del Plata, Funes 3350, 7600 Mar del Plata, Argentina;1. Mental Health Center, the First Affiliated Hospital, Guangxi Medical University, Guangxi, Nanning 530021, China;2. Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China;3. School of Mental Health, Jining Medical University, Shandong, Jining 272067, China;1. Department of Physics, Hangzhou Normal University, Hangzhou, Zhejiang 310036, People''s Republic of China;2. Department of Physics, Center for Optoelectronics Materials and Devices, Zhejiang Sci-Tech University, Xiasha College Park, Hangzhou, Zhejiang 310018, People''s Republic of China;1. Centro de Ciencias Aplicadas y Desarrollo Tecnológico, Universidad Nacional Autónoma de México, CU, 04510 D.F., México;2. Instituto de Física, Universidad Nacional Autónoma de México, CU, 04510 D.F., México;1. Stockholm Resilience Centre, Stockholm University, Stockholm SE 106 91, Sweden |
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| Abstract: | Wireless sensor networks (WSNs) have recently gained a great deal of attention as a topic of research, with a wide range of applications being explored. Bulk data dissemination is a basic building block for sensor network applications. The problem of designing efficient bulk data dissemination protocols has been addressed in a number of recent studies. The problem of accurately analyzing the performance of these protocols, however, has not been addressed sufficiently in the literature. In this work, we show a way of accurately analyzing the performance of bulk data dissemination protocols in WSNs. Our model can be applied to practical network topologies by use of the shortest propagation path. Our model is accurate by considering topological information, impact of contention, and impact of pipelining. We validate the analytical results through testbeds and detailed simulations. Results show that the analytical results fit well with the testbed results and simulation results. Further, we demonstrate that the analytical results can be used to aid protocol design for performance optimizations, e.g., page size tuning for shortening the completion time. |
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