Titlebook: Advanced Technologies in Ad Hoc and Sensor Networks; Proceedings of the 7 Xue Wang,Li Cui,Zhongwen Guo Conference proceedings 2014 Springer

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書目名稱Advanced Technologies in Ad Hoc and Sensor Networks影響因子(影響力)




書目名稱Advanced Technologies in Ad Hoc and Sensor Networks影響因子(影響力)學科排名




書目名稱Advanced Technologies in Ad Hoc and Sensor Networks網(wǎng)絡(luò)公開度




書目名稱Advanced Technologies in Ad Hoc and Sensor Networks網(wǎng)絡(luò)公開度學科排名




書目名稱Advanced Technologies in Ad Hoc and Sensor Networks被引頻次




書目名稱Advanced Technologies in Ad Hoc and Sensor Networks被引頻次學科排名




書目名稱Advanced Technologies in Ad Hoc and Sensor Networks年度引用




書目名稱Advanced Technologies in Ad Hoc and Sensor Networks年度引用學科排名




書目名稱Advanced Technologies in Ad Hoc and Sensor Networks讀者反饋




書目名稱Advanced Technologies in Ad Hoc and Sensor Networks讀者反饋學科排名

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CUB

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James Eric Mason,Issa Traore,Isaac Woungangmmunication and long-distance communication. This paper studies the energy efficient multicast routing problem with delay constraint for each destination. We formulate it as an integer programming. The simulation results show that our optimal model can achieve higher energy saving than the scheme only considering the long-distance communication.

Mutter

谷物

1876-1100 in Ad Hoc and Sensor Networks .collects selected papers from the 7th China Conference on Wireless Sensor Networks (CWSN2013) held in Qingdao, October 17-19, 2013. The book features state-of-the-art studies on Sensor Networks in China with the theme of “Advances in wireless sensor networks of China”

Capture

Fundamentals in User Authenticationd on TinyOS, which enables reliable and efficient network reboot in WSNs. NR ensures 100?% reliability by incorporating an eventual consistency dissemination protocol. It avoids flash I/Os by storing data items on persistent RAM. Evaluation results show that NR can ensure 100?% reliability and is efficient in I/O operations.

高興一回

https://doi.org/10.1007/0-387-28094-4kNN) is proposed in this paper. PT-GRkNN exploits filter-refine framework, geometric filter and probability filter are proposed to shrink the search space, the final query results can be obtained by refine phase. Experimental results show that the efficiency of PT-GRkNN is better than the existing methods.