能量均衡的线性无线传感器网络数据收集策略分析

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

2、especiallyadaptedfordangerousareaslikemilitarybattlefieldandpollutedenvironment．Atthesametime，thereispotentialpracticalvalueinmanyimportantareassuchasbiomedical，smarthome，urbantransportation，andspaceexploration．Inthispaper,linearwirelesssensornetworksdatacollectionstrategi

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

4、ergyconsumptionofnodes．Thatis，howtoselectthenodehopstobalancethenetworkenergyconsumptionandmaximizenetworklifetime．First，thispaperstudieslinearsensornetworkswhereeachnodegeneratesdataequallyinaninformation．gatheringperiod．Basedontypicalsensornetworkparameters，mainlyanalyze

5、stheformulaofnodeenergyconsumptioningeneralk．hopnetworkintheory,obtainsthevalueofwhichmaximizethenetworklifetimeingeneralk．hopnetwork．Onthisbasis，aschedulingalgorithmTDMAingeneralk．hopnetworkisproposed，aswellastheupperboundofrequiredtimeslot．Thetheoreticalanalysisandnumeri

6、calsimulationresultsverifythattheproposedTDMAalgorithmcanmakethenetworkreachtheoreticalminimumconvergecastandthelongestnetworklifetime．Thenthispaperstudieslinearsensornetworkswhereeachnodegeneratesdataunevenlyinaninformation．gatheringperiod．ProposestheTDMAalgorithmforgener

7、alnetworkwheredataisnotgeneratedequally,withadetailedperformanceanalysis，andgiveshopselectionmethodandformulawhichmaximizesnetworklifetime，aswellastheexpressionsofnetworkconvergecastrequiredtimeslotandgeneralnetworkoptimizationconclusions．Comparedwiththe1-hopalgorithm，theT

8、DMAschedulingalgorithmforthegeneralk-hopnetworkproposedInthispaperISmoreuniversalandhasmo