MC-MLAS: Multi-channel Minimum Latency Aggregation Scheduling in Wireless Sensor Networks |
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Authors: | Fatemeh Ghods Hamed Yousefi Ali Mohammad Afshin Hemmatyar Ali Movaghar |
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Affiliation: | 1. Huazhong University of Science and Technology, Wuhan, Hubei 430074, China;2. University of Pittsburgh, Pittsburgh, PA 15260, USA;1. School of Electrical and Computer Engineering, National Technical University of Athens, Iroon Politechniou 9, 15773 Athens, Greece;2. Department of Electronics Engineering, Technological Education Institute of Piraeus, Petrou Ralli & Thivon 250, 12244 Aegaleo, Greece;1. Department of Electrical Engineering and Computer Science, Seoul National University, Seoul, Republic of Korea;2. Institute of Logistics Information Technology, Pusan National University, Pusan, Republic of Korea;1. School of Computer Science and Engineering, University of New South Wales, NSW 2052, Australia;2. School of Information Technologies, University of Sydney, NSW 2006, Australia;1. Department of Electronic Engineering, City University of Hong Kong, Hong Kong Special Administrative Region;2. Engineering Sciences Department, The Open University of Hong Kong, Hong Kong Special Administrative Region |
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Abstract: | Data aggregation is a key, yet time-consuming functionality in wireless sensor networks (WSNs). Multi-channel design is a promising technique to alleviate interference as a primary reason for long latency of TDMA aggregation scheduling. Indeed, it provides more potential of parallel transmissions over different frequency channels, thus minimizing time latency. In this paper, we focus on designing a multi-channel minimum latency aggregation scheduling protocol, named MC-MLAS, using a new joint approach for tree construction, channel assignment, and transmission scheduling. To our best knowledge, this is the first work in the literature which combines orthogonal channels and partially overlapping channels to consider the total latency involved in data aggregation. Extensive simulations verify the superiority of MC-MLAS in WSNs. |
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Keywords: | Wireless Sensor Networks Minimum Latency Aggregation Scheduling Orthogonal Channels Partially Overlapping Channels |
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