Purpose-Whereas a human operator is hard to observe the networking infrastructure and its functions on a continuous basis,wireless sensor network(WSN)nodes must overcome faults and route the perceived data to the sink...Purpose-Whereas a human operator is hard to observe the networking infrastructure and its functions on a continuous basis,wireless sensor network(WSN)nodes must overcome faults and route the perceived data to the sink/base stations(BS).The main target of this research article is to ensure the fault-tolerance(FT)capability,especially for transmission of sensed data to its destinationwithout failure.Thus,through this paper,a fuzzy-based subordinate support(FSS)system is introduced as an additional feature to the existing optimized mobile sink improved energy efficient Power-Efficient Gathering in Sensor Information Systems(PEGASIS)-based(OMIEEPB)routing protocol,which lacks focus on ensuring the FT capabilities to the selected leaders of the corresponding chain.The central focus of FSS is to prevent the incident of fault,especially to the cluster heads.Design/methodology/approach-WSNs encounter several issues owing to random events or different causes such as energy exhaustion,negative influences of the deployed region,signal interference,unbalanced supply routes,instability of motes due to misalignments and collision,which ultimately intends the failure of the network.Throughout the past investigation periods,researchers gain an understanding of fault-tolerant strategies that may improve the data integrity or reliability,precision,energy efficiency,the life expectancy of the system and reduce/prevent the failure of deployed components.If that is the case,the maximum chances of data packets(sensed)needed to be transferred reliably and accurately to the sink node or BS are degraded.Findings-The FSS system utilizes the fuzzy logic concepts that have been proved to be beneficial since it permits several parameters to be combined effectively and evaluated.Here,near-point,residual energy,total operation time and past average processing time are considered as vital parameters.Moreover,the FSS system ensures the key performance activities of the network,such as optimization of response time,enhancing the data transmission reliability and accuracy.Simulation-based experiments are carried out through the Mannasim framework.After several experimental executions,the outcome of the proposed system is analyzed through elaborated comparison with the advanced existing systems.Originality/value-Finally,it has been observed that the FSS system not only enhanced the FT features to OMIEEPB but also assures the improved accuracy level(>95%)with optimized response time(<0.09 s)during data communication between leaders and the normal nodes.展开更多
文摘Purpose-Whereas a human operator is hard to observe the networking infrastructure and its functions on a continuous basis,wireless sensor network(WSN)nodes must overcome faults and route the perceived data to the sink/base stations(BS).The main target of this research article is to ensure the fault-tolerance(FT)capability,especially for transmission of sensed data to its destinationwithout failure.Thus,through this paper,a fuzzy-based subordinate support(FSS)system is introduced as an additional feature to the existing optimized mobile sink improved energy efficient Power-Efficient Gathering in Sensor Information Systems(PEGASIS)-based(OMIEEPB)routing protocol,which lacks focus on ensuring the FT capabilities to the selected leaders of the corresponding chain.The central focus of FSS is to prevent the incident of fault,especially to the cluster heads.Design/methodology/approach-WSNs encounter several issues owing to random events or different causes such as energy exhaustion,negative influences of the deployed region,signal interference,unbalanced supply routes,instability of motes due to misalignments and collision,which ultimately intends the failure of the network.Throughout the past investigation periods,researchers gain an understanding of fault-tolerant strategies that may improve the data integrity or reliability,precision,energy efficiency,the life expectancy of the system and reduce/prevent the failure of deployed components.If that is the case,the maximum chances of data packets(sensed)needed to be transferred reliably and accurately to the sink node or BS are degraded.Findings-The FSS system utilizes the fuzzy logic concepts that have been proved to be beneficial since it permits several parameters to be combined effectively and evaluated.Here,near-point,residual energy,total operation time and past average processing time are considered as vital parameters.Moreover,the FSS system ensures the key performance activities of the network,such as optimization of response time,enhancing the data transmission reliability and accuracy.Simulation-based experiments are carried out through the Mannasim framework.After several experimental executions,the outcome of the proposed system is analyzed through elaborated comparison with the advanced existing systems.Originality/value-Finally,it has been observed that the FSS system not only enhanced the FT features to OMIEEPB but also assures the improved accuracy level(>95%)with optimized response time(<0.09 s)during data communication between leaders and the normal nodes.
