Lurong Jiang

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Designing an efficient deployment method to guarantee optimal monitoring quality is one of the key topics in underwater sensor networks. At present, a realistic approach of deployment involves adjusting the depths of nodes in water. One of the typical algorithms used in such process is the self-deployment depth adjustment algorithm (SDDA). This algorithm(More)
Considering that deployment strategies for underwater sensor networks should contribute to fully connecting the networks, a Guaranteed Full Connectivity Node Deployment (GFCND) algorithm is proposed in this study. The GFCND algorithm attempts to deploy the coverage nodes according to the greedy iterative strategy, after which the connectivity nodes are used(More)
Link prediction plays an important role in both finding missing links in networked systems and complementing our understanding of the evolution of networks. Much attention from the network science community are paid to figure out how to efficiently predict the missing/future links based on the observed topology. Real-world information always contain noise,(More)
The current situation shows that the homemade chlorine gas online detect instrument is low in precision and simple in functions, the import instrument is too expansive and only has the short communication distance with the control center. A chlorine gas online detect instrument was developed. Adopting MSP430 processor and constant electrolytic gas sensor,(More)
GSM-R is a railway communication system based on the GSM technology. With the widely develop of high-speed rail, the GSM-R quality of service (QoS) is becoming much more important than ever. We analyze GSM-R by measuring field coverage and radio field coverage model, deducing the Doppler frequency offset, giving the upper and lower limits of overlap in(More)
A local-area and energy-efficient (LAEE) evolution model for wireless sensor networks is proposed. The process of topology evolution is divided into two phases. In the first phase, nodes are distributed randomly in a fixed region. In the second phase, according to the spatial structure of wireless sensor networks, topology evolution starts from the sink,(More)
In complex networks, the failure of one or very few nodes may cause cascading failures. When this dynamical process stops in steady state, the size of the giant component formed by remaining un-failed nodes can be used to measure the severity of cascading failures, which is critically important for estimating the robustness of networks. In this paper, we(More)
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