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• W2183611508 abstract "During my staying at the Norwegian University of Science and Technology (NTNU), considerable research related to wireless sensor networks was carried out, which can be divided into two parts: In the first part, I addressed the area of the energy consumption issues of wireless sensor nodes. As we know, the sensor nodes of a wireless sensor network typically work with small batteries for which replacement is very expansive and even impossible. Thus, minimizing the energy consumption of the sensor nodes is an important design consideration. The data transmission energy consumption is a critical part of energy consumption in wireless sensor nodes, which can be optimized by well allocating the channel coding rate, the modulation constellation size, and the transmission duration. Moreover, we have observed that for a wireless sensor network whose nodes are densely distributed, the measurements at individual sensor nodes are always spatially correlated. When the correlations between data measured by nearby sensor nodes are considered, the communication energy consumption may be further reduced. Based on this observation, we have proposed an optimization algorithm for minimizing the overall data transmission energy consumption. Compared to the optimized uncorrelated uncoded transmission scheme, the total energy consumption may be reduced by more than 83.5% for a correlation value of 0.6 and a transmission distance of 100 meters when using the results from the proposed optimization. This is significant with respect to increasing the lifetime of a wireless sensor network. In the second part of my research work, I focus on the topic of energy-efficient routing for eventdriven dense wireless sensor networks. In dense wireless sensor networks, the occurrence of an event may be detected by multiple sensor nodes. Then each of the event-detecting sensor nodes may immediately generate a report message for transmission to the sink node. For this application, the target of our routing algorithm is to maximize the energy efficiency of such multiple-to-one routing schemes, so as to maximize the duration before the first failed eventreporting to the sink node. Although this kind routing problem has been proven to be NPcomplete, we have built a heuristic routing protocol for event-driven dense wireless sensor networks. The proposed routing protocol exploits a new cost function for energy balancing among sensor nodes and uses an iterative scheme with optimized data fusions to compute the minimum-cost route for each event-detecting sensor node, which is able to outperform the LEACH protocol and the PEGASIS protocol over 100-300% and 10-100% in network lifetime. II- Publication(s) during your fellowship Please insert the title(s), author(s) and abstract(s) of the published paper(s). You may also mention the paper(s) which were prepared during your fellowship period and are under reviewing." @default.
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• W2183611508 date "2008-01-01" @default.
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• W2183611508 title "ERCIM Alain Bensoussan Fellowship Scientific Report" @default.
• W2183611508 hasPublicationYear "2008" @default.
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