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

戏弄

书目名称Advanced Technologies in Ad Hoc and Sensor Networks影响因子(影响力)




书目名称Advanced Technologies in Ad Hoc and Sensor Networks影响因子(影响力)学科排名




书目名称Advanced Technologies in Ad Hoc and Sensor Networks网络公开度




书目名称Advanced Technologies in Ad Hoc and Sensor Networks网络公开度学科排名




书目名称Advanced Technologies in Ad Hoc and Sensor Networks被引频次




书目名称Advanced Technologies in Ad Hoc and Sensor Networks被引频次学科排名




书目名称Advanced Technologies in Ad Hoc and Sensor Networks年度引用




书目名称Advanced Technologies in Ad Hoc and Sensor Networks年度引用学科排名




书目名称Advanced Technologies in Ad Hoc and Sensor Networks读者反馈




书目名称Advanced Technologies in Ad Hoc and Sensor Networks读者反馈学科排名

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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.

高兴一回

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.