http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Junsong Fu (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
-
A Reliable Information Fusion Algorithm for Reputation Based Wireless Sensor Networks
Teng Ma,Yun Liu,Junsong Fu,Ya Jing 보안공학연구지원센터 2015 International Journal of Future Generation Communi Vol.8 No.1
In wireless sensor networks (WSNs), cryptographic primitives alone cannot provide a sufficient solution to the secure information fusion problem, therefore reputation systems have been introduced into WSNs. In a cluster, each sensor node has a single reputation value that is evaluated by the other sensor nodes in the same cluster. In this paper, we propose a novel, reliable information fusion algorithm, called reputation-driven information fusion (RDIF). In this work, a clustering algorithm is employed to divide all of the sensor nodes into many clusters. Then, a reputation system is established for each cluster, and an information fusion algorithm driven by reputation values is performed by the cluster head. In addition to the sensor nodes’ reputation values, we also consider the values of the readings collected by the sensor nodes and eliminate the outliers before fusing information. The simulation results show that RDIF can improve the reliability and accuracy of fusion results significantly when some compromised nodes appear in the WSNs.
-
Forest Fire Monitoring Based on Mixed Wireless Sensor Networks
Teng Ma,Yun Liu,Junsong Fu,Ya Jing 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.3
Forest fires can be fatal threats. Motivated by the need to detect fire early and locate forest fires clearly, in this paper, we propose a paradigm called the forest fire monitoring paradigm (FFMP). The purpose of the FFMP is for forest fire early detection and locating based on mixed wireless sensor networks (WSNs). Different from pure static and mobile WSNs, mixed WSNs are composed of both mobile sensor nodes and static sensor nodes. Mixed WSNs are a tradeoff between cost and coverage. In the FFMP, the mobile sensor nodes perform as cluster heads and they will construct a backbone network in which the mobile sensor nodes can connect with their neighbors and be capable of transmitting data to the base station. Each static sensor node chooses one neighboring mobile sensor node as its cluster head and uploads the generated messages to the cluster head. The mobile sensor nodes then fuses the information and transfers the fusion results to the base station, where the data were further processed to obtain the temperature distribution graph and locate the fires. The simulation illustrates that our approach performs well in early forest fire detection and locating. In addition, our approach can significantly prolong the lifetime of WSNs.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
