Applications of Wireless Sensor devices are widely used byvarious monitoring sections such as environmental monitoring, industrialsensing, habitat modeling, healthcare and enemy movement detection systems.Researchers ...Applications of Wireless Sensor devices are widely used byvarious monitoring sections such as environmental monitoring, industrialsensing, habitat modeling, healthcare and enemy movement detection systems.Researchers were found that 16 bytes packet size (payload) requires MediaAccess Control (MAC) and globally unique network addresses overheads asmore as the payload itself which is not reasonable in most situations. Theapproach of using a unique address isn’t preferable for most Wireless SensorNetworks (WSNs) applications as well. Based on the mentioned drawbacks,the current work aims to fill the existing gap in the field area by providingtwo strategies. First, name/address solutions that assign unique addresseslocally to clustered topology-based sensor devices, reutilized in a spatialmanner, and reduce name/address size by a noticeable amount of 2.9 basedon conducted simulation test. Second, name/address solutions that assignreutilizing of names/addresses to location-unaware spanning-tree topologyin an event-driven WSNs case (that is providing minimal low latenciesand delivering addressing packet in an efficient manner). Also, to declinethe approach of needing both addresses (MAC and network) separately, itdiscloses how in a spatial manner to reutilize locally unique sensor devicename approach and could be utilized in both contexts and providing anenergy-efficient protocol for location unawareness clustered based WSNs.In comparison, an experimental simulation test performed and given theaddresses solution with less overhead in the header and 62 percent fairpayload efficiency that outperforms 34 percent less effective globally uniqueaddresses. Furthermore, the proposed work provides addresses uniquenessfor network-level without using network-wide Duplicate Address Detection(DAD) algorithm. Consequently, the current study provides a roadmap foraddressing/naming scheme to help researchers in this field of study. In general,some assumptions were taken during the work phases of this study such asnumber of Cluster Head (CH) nodes is 6% of entire sensor nodes, locationunawareness for entire sensor network and 4 bits per node address space whichconsidered as the limitation of the study.展开更多
文摘Applications of Wireless Sensor devices are widely used byvarious monitoring sections such as environmental monitoring, industrialsensing, habitat modeling, healthcare and enemy movement detection systems.Researchers were found that 16 bytes packet size (payload) requires MediaAccess Control (MAC) and globally unique network addresses overheads asmore as the payload itself which is not reasonable in most situations. Theapproach of using a unique address isn’t preferable for most Wireless SensorNetworks (WSNs) applications as well. Based on the mentioned drawbacks,the current work aims to fill the existing gap in the field area by providingtwo strategies. First, name/address solutions that assign unique addresseslocally to clustered topology-based sensor devices, reutilized in a spatialmanner, and reduce name/address size by a noticeable amount of 2.9 basedon conducted simulation test. Second, name/address solutions that assignreutilizing of names/addresses to location-unaware spanning-tree topologyin an event-driven WSNs case (that is providing minimal low latenciesand delivering addressing packet in an efficient manner). Also, to declinethe approach of needing both addresses (MAC and network) separately, itdiscloses how in a spatial manner to reutilize locally unique sensor devicename approach and could be utilized in both contexts and providing anenergy-efficient protocol for location unawareness clustered based WSNs.In comparison, an experimental simulation test performed and given theaddresses solution with less overhead in the header and 62 percent fairpayload efficiency that outperforms 34 percent less effective globally uniqueaddresses. Furthermore, the proposed work provides addresses uniquenessfor network-level without using network-wide Duplicate Address Detection(DAD) algorithm. Consequently, the current study provides a roadmap foraddressing/naming scheme to help researchers in this field of study. In general,some assumptions were taken during the work phases of this study such asnumber of Cluster Head (CH) nodes is 6% of entire sensor nodes, locationunawareness for entire sensor network and 4 bits per node address space whichconsidered as the limitation of the study.
