Energyefficiencyisveryimportantforwireless\r\nsensor networks (WSNs) since sensor nodes have a\r\nlimited energy supply from a battery. So far, a lot\r\nresearch has focused on this issue, while less emphasis\r\nhasbeenplacedontheadaptivesleeptimeforeachnode\r\nwith a consideration for the application constraints. In\r\nthis paper, we propose a hierarchically coordinated\r\npower management (HCPM) approach, which both\r\naddresses the energy conservation problem and reduces\r\nthe packet forwarding delay for target tracking WSNs\r\nbased on a virtualgridbased network structure. We\r\nextend the network lifetime by adopting an adaptive\r\nsleep scheduling scheme that combines the local power\r\nmanagement (PM) and the adaptive coordinate PM\r\nstrategiestoscheduletheactivitiesofthesensornodesat\r\nthe surveillance stage. Furthermore, we propose a\r\nhierarchicalstructureforthetrackingstage.Experimental\r\nresults show that the proposed approach has a greater\r\ncapability of extending the network lifetime while\r\nmaintaining a short transmission delay when compared\r\nwiththeprotocolwhichdoesnotconsidertheapplication\r\nconstraintsintargettrackingsensornetworks.
Loading....