Purpose-The paper aims to introduce an efficient routing algorithm for wireless sensor networks(WSNs).It proposes an improved evaporation rate water cycle(improved ER-WC)algorithm and outlining the systems performance...Purpose-The paper aims to introduce an efficient routing algorithm for wireless sensor networks(WSNs).It proposes an improved evaporation rate water cycle(improved ER-WC)algorithm and outlining the systems performance in improving the energy efficiency of WSNs.The proposed technique mainly analyzes the clustering problem of WSNs when huge tasks are performed.Design/methodology/approach-This proposed improved ER-WC algorithm is used for analyzing various factors such as network cluster-head(CH)energy,CH location and CH density in improved ER-WCA.The proposed study will solve the energy efficiency and improve network throughput in WSNs.Findings-This proposed work provides optimal clustering method for Fuzzy C-means(FCM)where efficiency is improved in WSNs.Empirical evaluations are conducted to find network lifespan,network throughput,total network residual energy and network stabilization.Research limitations/implications-The proposed improved ER-WC algorithm has some implications when different energy levels of node are used in WSNs.Practical implications-This research work analyzes the nodes’energy and throughput by selecting correct CHs in intra-cluster communication.It can possibly analyze the factors such as CH location,network CH energy and CH density.Originality/value-This proposed research work proves to be performing better for improving the network throughput and increases energy efficiency for WSNs.展开更多
文摘Purpose-The paper aims to introduce an efficient routing algorithm for wireless sensor networks(WSNs).It proposes an improved evaporation rate water cycle(improved ER-WC)algorithm and outlining the systems performance in improving the energy efficiency of WSNs.The proposed technique mainly analyzes the clustering problem of WSNs when huge tasks are performed.Design/methodology/approach-This proposed improved ER-WC algorithm is used for analyzing various factors such as network cluster-head(CH)energy,CH location and CH density in improved ER-WCA.The proposed study will solve the energy efficiency and improve network throughput in WSNs.Findings-This proposed work provides optimal clustering method for Fuzzy C-means(FCM)where efficiency is improved in WSNs.Empirical evaluations are conducted to find network lifespan,network throughput,total network residual energy and network stabilization.Research limitations/implications-The proposed improved ER-WC algorithm has some implications when different energy levels of node are used in WSNs.Practical implications-This research work analyzes the nodes’energy and throughput by selecting correct CHs in intra-cluster communication.It can possibly analyze the factors such as CH location,network CH energy and CH density.Originality/value-This proposed research work proves to be performing better for improving the network throughput and increases energy efficiency for WSNs.