On-demand Geographic Forwarding for data delivery in wireless sensor networks |
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| Affiliation: | 1. National Sun Yat-Sen University, Taiwan;2. University College London, UK;1. Université de Lyon, UCBL, ENS Lyon, INRIA, CNRS, LIP UMR 5668, France;2. Sorbonne Université, UPMC Univ Paris 06, CNRS, LIP6 UMR 7606, France;1. State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications, Beijing 100876, China;2. China Internet Network Information Center, Beijing 100190, China;3. National Engineering Laboratory for Next Generation Internet Interconnection Devices Beijing Jiaotong University, Beijing 100044, China;1. School of Computer Science, University of Guelph, Guelph, Ontario, Canada;2. Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal;1. Key Laboratory of Luminescent and Real-Time Analytical Chemistry (Southwest University), Ministry of Education, College of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715, China;2. College of Chemical Engineering, Guizhou University of Engineering Science, Guizhou 551700, China;1. ETH Zurich, Switzerland;2. ABB Research, Switzerland;3. T-Labs, TU Berlin, Germany |
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| Abstract: | A purely on-demand network protocol, called On-demand Geographic Forwarding (OGF), is proposed for data delivery in large-scale and resource-constrained static wireless sensor networks with unreliable sensors. OGF is a cross-layer protocol that employs (i) an explicit contention scheme to establish a next-hop node in a distributed fashion, (ii) a simple scheme using a forwarding table to maintain the learned next-hop information, and (iii) a novel partial source routing scheme to handle communication voids. The operation of our protocol is based on the actual demands of the application, data traffic, and network dynamics. Packet-level simulations show that OGF exhibits a superior performance in terms of energy consumption, scalability, and void handling. Our study demonstrates that OGF is viable for efficient data delivery in the targeted sensor networks. |
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