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Wireless sensor networks (WSNs) used for pavement information monitoring usually have a long-chain structure; therefore, the sensor nodes in the network consume uneven amounts of energy. For the application of WSN technology to pavement monitoring, reducing the amount of data transmission in WSNs and balancing the energy consumption at the nodes are essential. This study proposes a data-acquisition mechanism for WSN pavement-monitoring systems based on hybrid compressed sensing (HCS) and establishes a simulation model of the system energy consumption. The data collection proposal is then compared with traditional data collection methods. Experimental results show that the application of HCS to a pavement-monitoring system can reduce the overall energy consumption of the network, balance power consumption among the nodes, and prolong the lifetime of the WSN sensors. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Nanjing University of Information Science & Technology (Natural Science Edition) / Nanjing Xinxi Gongcheng Daxue Xuebao (ziran kexue ban) is the property of Editorial Office of Journal of Nanjing University of Information Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Signal Processing is the property of Journal of Signal Processing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Nowadays, innovation is no longer limited to the individual firm but involves increasingly the chain network in which the firm is embedded. The chain network is considered as the place where the internal and external resources of a firm are combined and transformed, leading to innovation capacity. In the increasingly globalizing market, innovation is an important strategic tool for small and medium sized enterprises (SMEs) to achieve competitive advantage. However, SMEs are often confronted with barriers for developing and introducing innovations, such as the lack of economies of scale. Our paper investigates how the chain network is contributing to the enhancement of the innovation capacity and which chain network characteristics are crucial in this process. In contrast to previous studies at chain network level, in our research specific chain networks are investigated and compared to each other. Hence, data collection took place at different chain network levels, being the supplier, the food manufacturer and the customer, working together and consequently belonging to one specific and unique chain network. The analysis of innovation capacity at the chain network level is realized by means of cluster analysis. This results in a three-cluster solution dividing the sample into Non-innovator chain networks, Customer-driven innovator chain networks and food manufacturer-supplier-driven innovator chain networks. Next, the influence of the chain network on the innovation capacity is examined. Thereby, the three achieved clusters differ significantly related to certain chain network characteristics. The following characteristics form an important leverage for the innovation capacity: firm size, profitability and business growth of the chain network members, as well as higher dependency, and lower levels of integration, rewarding power, social satisfaction and collaboration. The distinction of Customerdriven and food manufacturer-supplier-driven innovator chain networks reveals that the involvement of the chain network partners for the enhancement of the innovation capacity is a very important aspect. In future research, the degree of complexity of the studied system should gradually be increased, namely from a chain network of three members to more complex chain networks. [ABSTRACT FROM AUTHOR]