软件学报
軟件學報
연건학보
JOURNAL OF SOFTWARE
2014年
8期
1625-1639
,共15页
田立勤%林闯%张琪%陈振国
田立勤%林闖%張琪%陳振國
전립근%림틈%장기%진진국
物联网%远程监测%均匀分簇%拓扑可靠性%优化设计
物聯網%遠程鑑測%均勻分簇%拓撲可靠性%優化設計
물련망%원정감측%균균분족%탁복가고성%우화설계
Internet of things (IoT)%remote monitoring%uniform clustering%topological reliability%optimal design
物联网结合各种主干传输很适合远程实时监测,但随着监测范围的不断扩大与应用的不断普及,监测系统中断所造成的代价和影响与日俱增。系统的拓扑可靠性是保障远程监测系统可靠的一个重要方面,以三江源大面积物联网远程生态监测中需要设立监测区域的实际需求为背景,提出了一种基于均匀分簇的可扩展的模块化传感器节点部署方法,对设置传感器的拓扑结构层数、监测面积和监测节点数等参数的相互关系给出了量化的计算公式,针对不稳定的信息传输环境给出了保障监测区域和远程主干拓扑可靠性的有效机制及量化分析方法,在此基础上,重点给出了关键传输节点(簇头节点和协调器)拓扑可靠性的动态优化策略。理论分析和仿真结果表明:该机制具有数据融合均匀、有效节能和灵活可扩展等特点,对提高物联网远程监测的可靠性有显著效果;同时,所得出的相关理论对诸如农业、牧业和林业等相关行业的偏远大面积物联网远程实时监测的拓扑可靠性保障具有重要的理论和实际应用参考价值。
物聯網結閤各種主榦傳輸很適閤遠程實時鑑測,但隨著鑑測範圍的不斷擴大與應用的不斷普及,鑑測繫統中斷所造成的代價和影響與日俱增。繫統的拓撲可靠性是保障遠程鑑測繫統可靠的一箇重要方麵,以三江源大麵積物聯網遠程生態鑑測中需要設立鑑測區域的實際需求為揹景,提齣瞭一種基于均勻分簇的可擴展的模塊化傳感器節點部署方法,對設置傳感器的拓撲結構層數、鑑測麵積和鑑測節點數等參數的相互關繫給齣瞭量化的計算公式,針對不穩定的信息傳輸環境給齣瞭保障鑑測區域和遠程主榦拓撲可靠性的有效機製及量化分析方法,在此基礎上,重點給齣瞭關鍵傳輸節點(簇頭節點和協調器)拓撲可靠性的動態優化策略。理論分析和倣真結果錶明:該機製具有數據融閤均勻、有效節能和靈活可擴展等特點,對提高物聯網遠程鑑測的可靠性有顯著效果;同時,所得齣的相關理論對諸如農業、牧業和林業等相關行業的偏遠大麵積物聯網遠程實時鑑測的拓撲可靠性保障具有重要的理論和實際應用參攷價值。
물련망결합각충주간전수흔괄합원정실시감측,단수착감측범위적불단확대여응용적불단보급,감측계통중단소조성적대개화영향여일구증。계통적탁복가고성시보장원정감측계통가고적일개중요방면,이삼강원대면적물련망원정생태감측중수요설립감측구역적실제수구위배경,제출료일충기우균균분족적가확전적모괴화전감기절점부서방법,대설치전감기적탁복결구층수、감측면적화감측절점수등삼수적상호관계급출료양화적계산공식,침대불은정적신식전수배경급출료보장감측구역화원정주간탁복가고성적유효궤제급양화분석방법,재차기출상,중점급출료관건전수절점(족두절점화협조기)탁복가고성적동태우화책략。이론분석화방진결과표명:해궤제구유수거융합균균、유효절능화령활가확전등특점,대제고물련망원정감측적가고성유현저효과;동시,소득출적상관이론대제여농업、목업화임업등상관행업적편원대면적물련망원정실시감측적탁복가고성보장구유중요적이론화실제응용삼고개치。
Internet of things (IoT), combined with various backbone transmission, is very suitable for remote real-time monitoring. However, along with the expansion of monitoring scope and popularization of the application, the cost and impact caused by system interruption is increasing rapidly. Reliability of system topology is very important in guaranteeing the reliability of remote monitoring system. Taking the actual demand of setting up monitoring region for the IoT-based Three-River Source region remote monitoring as background, this paper proposes a scalable uniform clustering based modular sensor deployment method, and gives calculation formula for the relationship between the layer number of topological architecture, the monitored area and the sensor number. To address the unstable information transmission environment, this paper presents an effective mechanism and quantitative analysis method to guarantee the reliability of monitored region and remote backbone topology. This method highlights a dynamic optimization strategy to the topological reliability of those key transmission nodes. Theoretical analysis and simulation results show that this method is placed on traits such as even data fusion, effective energy saving and extensibility and is remarkable in improving the reliability of IoT-based remote monitoring. At the same time, theories from this paper have important theoretical and actual application reference value in guaranteeing topological reliability of IoT-based remote real-time monitoring of large region, such as agriculture, animal husbandry and forestry related industries.