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This work presents a new geographical power efficient routing (GPER) protocol for sensor networks. Each sensor node makes local decisions as to how far to transmit: therefore, the protocol is power efficient, highly distributed and scalable. In GPER, given a final destination, each node first establishes a sub-destination within its maximum radio range. The(More)
In this paper, we focus on the challenge of demand-scalable multicast routing in wireless sensor networks. Due to the ad-hoc nature of the placement of the sensor nodes as well as the variations in the available power of the nodes, centralized or stateful routing schemes are not applicable. Thus, in this paper, we first introduce a Geographic Multicast(More)
In this paper, we propose a novel Geographic Multicast routing Protocol (GMP) for wireless sensor networks1. The proposed protocol is fully distributed and stateless. Given a set of the destinations, the transmitting node first constructs a virtual Euclidean Steiner tree rooted at itself and including the destinations, using a novel and highly efficient(More)
Nodes in a sensor network, operating on power limited batteries, must save power to minimize the need for battery replacement. We note that the range of transmission has a significant effect on the power consumption of both the transmitting node and listeners. This paper first presents a Geographical Power Efficient Routing (GPER) protocol for sensor(More)
Lung cancer is the leading cause of cancer death worldwide and its clinical management remains challenge. Here, we repurposed antibiotic levofloxacin for lung cancer treatment. We show that levofloxacin is effectively against a panel of lung cancer cell lines via inhibiting proliferation and inducing apoptosis, regardless of cellular origin and genetic(More)
Citation: Song J, Liu H, Zhuang H, Zhao C, Xu Y, Wu S, Qi J, Li J, Hettenhausen C and Wu J (2017) Transcriptomics and Alternative Splicing Analyses Reveal Large Differences between Maize Lines B73 and Mo17 in Response to Aphid Rhopalosiphum padi Infestation. Front. Plant Sci. 8:1738. doi: 10.3389/fpls.2017.01738 Transcriptomics and Alternative Splicing(More)
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