能量均衡的线性无线传感器网络数据收集策略分析 (1)

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1、WirelesssensornetworkstechnologywhichintegratesABSTRACT(WSNs)isanemergingfieldofcomputerscienceandsensortechnology,embeddedtechnology,informationprocessingtechnologyandwirelesscommunicationtechnology．WSNshavefeaturessuchasquicklayout，highflexibility,andstrongsurvivability,espec

2、iallyadaptedfordangerousareaslikemilitarybattlefieldandpollutedenvironment．Atthesametime，thereispotentialpracticalvalueinmanyimportantareassuchasbiomedical，smarthome，urbantransportation，andspaceexploration．Inthispaper,linearwirelesssensornetworksdatacollectionstrategiesarestudi

3、edfortheapplicationsoftransportation，border,pipeline，etc．Twoimportantpartsamongthemare：(1)Researchonquickdatacollectionstrategy．Thatis，howtominimizethetimeneededtotransmitdatafromallorsomesensornodestothecollectionpointcalledasconvergecast；(2)Researchonbalancedenergyconsumption

4、ofnodes．Thatis，howtoselectthenodehopstobalancethenetworkenergyconsumptionandmaximizenetworklifetime．First，thispaperstudieslinearsensornetworkswhereeachnodegeneratesdataequallyinaninformation．gatheringperiod．Basedontypicalsensornetworkparameters，mainlyanalyzestheformulaofnodeene

5、rgyconsumptioningeneralk．hopnetworkintheory,obtainsthevalueofwhichmaximizethenetworklifetimeingeneralk．hopnetwork．Onthisbasis，aschedulingalgorithmTDMAingeneralk．hopnetworkisproposed，aswellastheupperboundofrequiredtimeslot．Thetheoreticalanalysisandnumericalsimulationresultsverif

6、ythattheproposedTDMAalgorithmcanmakethenetworkreachtheoreticalminimumconvergecastandthelongestnetworklifetime．Thenthispaperstudieslinearsensornetworkswhereeachnodegeneratesdataunevenlyinaninformation．gatheringperiod．ProposestheTDMAalgorithmforgeneralnetworkwheredataisnotgenerat

7、edequally,withadetailedperformanceanalysis，andgiveshopselectionmethodandformulawhichmaximizesnetworklifetime，aswellastheexpressionsofnetworkconvergecastrequiredtimeslotandgeneralnetworkoptimizationconclusions．Comparedwiththe1-hopalgorithm，theTDMAschedulingalgorithmforthegeneral

8、k-hopnetworkproposedInthispaperISmoreuniversalandhasmo