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An Enhanced Backbone-Assisted Reliable Framework for Wireless Sensor Networks
AbstractAn extremely reliable source to sink communication is required for most of the contemporary WSN applications especially pertaining to military, healthcare and disaster-recovery. However, due to their intrinsic energy, bandwidth and computational constraints, Wireless Sensor Networks (WSNs) encounter several challenges in reliable source to sink communication. In this paper, we present a novel reliable topology that uses reliable hotlines between sensor gateways to boost the reliability of end-to-end transmissions. This reliable and efficient routing alternative reduces the number of average hops from source to the sink. We prove, with the help of analytical evaluation, that communication using hotlines is considerably more reliable than traditional WSN routing. We use reliability theory to analyze the cost and benefit of adding gateway nodes to a backbone-assisted WSN. However, in hotline assisted routing some scenarios where source and the sink are just a couple of hops away might bring more latency, therefore, we present a Signature Based Routing (SBR) scheme. SBR enables the gateways to make intelligent routing decisions, based upon the derived signature, hence providing lesser end-to-end delay between source to the sink communication. Finally, we evaluate our proposed hotline based topology with the help of a simulation tool and show that the proposed topology provides manifold increase in end-to-end reliability.
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Tufail, A.; Khayam, S.A.; Raza, M.T.; Ali, A.; Kim, K.-H. An Enhanced Backbone-Assisted Reliable Framework for Wireless Sensor Networks. Sensors 2010, 10, 1619-1651.View more citation formats
Tufail A, Khayam SA, Raza MT, Ali A, Kim K-H. An Enhanced Backbone-Assisted Reliable Framework for Wireless Sensor Networks. Sensors. 2010; 10(3):1619-1651.Chicago/Turabian Style
Tufail, Ali; Khayam, Syed Ali; Raza, Muhammad Taqi; Ali, Amna; Kim, Ki-Hyung. 2010. "An Enhanced Backbone-Assisted Reliable Framework for Wireless Sensor Networks." Sensors 10, no. 3: 1619-1651.
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