By Limin Sun, Huadong Ma, Dingyi Fang, Jinping Niu, Wei Wang
This publication constitutes the refereed court cases of the eighth China convention of instant Sensor Networks, held in Xi'an, China, in October/November 2014. The sixty four revised complete papers have been conscientiously reviewed and chosen from 365 submissions. The papers are equipped in topical sections on energy keep an eye on and administration; community structure and deployment; positioning and location-based companies in instant sensor networks; safety and privateness; instant communique structures and protocols; routing set of rules and shipping protocols in instant sensor networks; instant verbal exchange protocols and sensor facts caliber, integrity and trustworthiness; web of items; instant cellular community structure, in-vehicle community; indoor positioning and location-based providers; purposes of instant sensor networks.
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Extra resources for Advances in Wireless Sensor Networks: The 8th China Conference, CWSN 2014, Xi'an, China, October 31--November 2, 2014. Revised Selected Papers
J. Distrib. Sens. Netw. 2013, Article ID:505710 (2013) 15. : Optimal surface deployment problem in wireless sensor networks. In: Proceedings of INFOCOM 2012, pp. 2345–2353 (2012) 16. : Constructing low-connectivity and full-coverage three dimensional sensor networks. IEEE J. Sel. Areas Commun. 28(7), 984–993 (2010) 17. : Comput. Commun. 36(2), 135–148 (2013) 18. : The coverage problem in three-dimensional wireless sensor networks. In: Proceedings of GLOBECOM 2004, pp. 3182–3186 (2004) 19. : A coverage enhancing method for 3D directional sensor networks.
End if Return None crossing k -barrier coverage. C. Performance evaluation In each round of Algorithm 1, each sensor attempts to increase a sensing power level. When the number of a sensor node’s neighbors is bigger or equal to 2, it does not increase its sensing power level. Such that Algorithm 1 can converge very soon because as a sensor node’s sensing range increase, it can easily ﬁnd two neighbors. The biggest communication overhead of the network happens when Algorithm 1 runs not long. At that time, the average number of neighbors of each sensor node is one.
Figure 5 shows the transmission energy cost versus the number of barriers, we can see that when α is strict latency bound or loose latency bound, the transmission energy costs are similar. 2 which is not strict and loose, the transmission energy cost is lower in general. Figure 6 shows the transmission time versus the number of barriers, we can see that after the number of barriers reaches to 6, the transmission time converges slowly because the transmission time is concerned with the depth of data aggregation tree T.