Simultaneous wireless information and power transfer(SWIPT)is recently emerging as one of the vital solutions to prolong the lifetime of energy constrained wireless sensor nodes.However,current works on SWIPT consider...Simultaneous wireless information and power transfer(SWIPT)is recently emerging as one of the vital solutions to prolong the lifetime of energy constrained wireless sensor nodes.However,current works on SWIPT considered only the immediate past-hop node’s RF signal as a source of energy harvesting in multi-hop Internet of things(IoT)networks.In case of weak radio frequency(RF)signal,the amount of harvested energy does not support for continuous communication.Hence,in this paper a new energy harvesting mechanism is proposed which considers multiple sources(MS)such as(1)sink broadcasting energy,(2)co-channel interference,(3)neighbor nodes’RF signal,and(4)immediate past-hop node’s RF signal for energy harvesting.Towards such prospect,a new SWIPT architecture is proposed called hybrid SWIPT(H-SWIPT)by integrating time switching(TS)and power splitting(PS)architectures.Furthermore,an efficient route selection mechanism is introduced to minimize the total energy consumption of the path based on an energy cost metric.To validate the proposed mechanism,simulation experiments are conducted and obtained the superiority of H-SWIPT compared with existing methods in terms of average harvested energy.Further,the effectiveness of proposed method performance is investigated through energy cost at different node density and barrier rates.展开更多
In large-scale networks such as the Internet of Things(IoT),devices seek multihop communication for longdistance communications,which considerably impacts their power exhaustion.Hence,this study proposes an energy har...In large-scale networks such as the Internet of Things(IoT),devices seek multihop communication for longdistance communications,which considerably impacts their power exhaustion.Hence,this study proposes an energy harvesting-enabled,relay-based communication in multihop clustered IoT networks in a bid to conserve the battery power in multihop IoT networks.Initially,this study proposes an efficient,hierarchical clustering mechanism in which entire IoT devices are clustered into two types:the closest cluster(CC)and remote clusters(RCs).Additionally,Euclidean distance is employed for the CC and fuzzy c-means for the RCs.Next,for cluster head(CH)selection,this study models a fitness function based on two metrics,namely residual energy and distance(device-to-device distance and device-to-sink distance).After CH selection,the entire clustered network is partitioned into several layers,after which a relay selection mechanism is applied.For every CH of the upper layer,we assign a few lower-layer CHs to function as relays.The relay selection mechanism is applied only for the devices in the RCs,while for devices in the CC,the CH functions as a relay.Finally,several simulation experiments are conducted to validate the proposed method’s performance.The results show the method’s superiority in terms of energy efficiency and optimal number of relays in comparison with the state-of-the-art methods.展开更多
文摘Simultaneous wireless information and power transfer(SWIPT)is recently emerging as one of the vital solutions to prolong the lifetime of energy constrained wireless sensor nodes.However,current works on SWIPT considered only the immediate past-hop node’s RF signal as a source of energy harvesting in multi-hop Internet of things(IoT)networks.In case of weak radio frequency(RF)signal,the amount of harvested energy does not support for continuous communication.Hence,in this paper a new energy harvesting mechanism is proposed which considers multiple sources(MS)such as(1)sink broadcasting energy,(2)co-channel interference,(3)neighbor nodes’RF signal,and(4)immediate past-hop node’s RF signal for energy harvesting.Towards such prospect,a new SWIPT architecture is proposed called hybrid SWIPT(H-SWIPT)by integrating time switching(TS)and power splitting(PS)architectures.Furthermore,an efficient route selection mechanism is introduced to minimize the total energy consumption of the path based on an energy cost metric.To validate the proposed mechanism,simulation experiments are conducted and obtained the superiority of H-SWIPT compared with existing methods in terms of average harvested energy.Further,the effectiveness of proposed method performance is investigated through energy cost at different node density and barrier rates.
文摘In large-scale networks such as the Internet of Things(IoT),devices seek multihop communication for longdistance communications,which considerably impacts their power exhaustion.Hence,this study proposes an energy harvesting-enabled,relay-based communication in multihop clustered IoT networks in a bid to conserve the battery power in multihop IoT networks.Initially,this study proposes an efficient,hierarchical clustering mechanism in which entire IoT devices are clustered into two types:the closest cluster(CC)and remote clusters(RCs).Additionally,Euclidean distance is employed for the CC and fuzzy c-means for the RCs.Next,for cluster head(CH)selection,this study models a fitness function based on two metrics,namely residual energy and distance(device-to-device distance and device-to-sink distance).After CH selection,the entire clustered network is partitioned into several layers,after which a relay selection mechanism is applied.For every CH of the upper layer,we assign a few lower-layer CHs to function as relays.The relay selection mechanism is applied only for the devices in the RCs,while for devices in the CC,the CH functions as a relay.Finally,several simulation experiments are conducted to validate the proposed method’s performance.The results show the method’s superiority in terms of energy efficiency and optimal number of relays in comparison with the state-of-the-art methods.
