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rao algorithms-Based Structure Optimization for Heterogeneous Wireless Sensor Networks

Computers, Materials & Continua 2024年第1期78卷 873-897页

作者： Shereen K.Refaay Samia A.Ali Moumen T.El-Melegy Louai A.Maghrabi Hamdy H.El-Sayed Faculty of Computers and Artificial Intelligence Sohag UniversitySohag82524Egypt Faculty of Engineering Assiut UniversityAssiut711745Egypt College of Engineering University of Business and TechnologyJeddah23411Saudi Arabia

The structural optimization of wireless sensor networks is a critical issue because it impacts energy consumption and hence the network’s *** studies have been conducted for homogeneous networks,but few have been performed for heterogeneouswireless sensor *** paper utilizes rao algorithms to optimize the structure of heterogeneous wireless sensor networks according to node locations and their initial *** proposed algorithms lack algorithm-specific parameters and metaphorical *** proposed algorithms examine the search space based on the relations of the population with the best,worst,and randomly assigned *** proposed algorithms can be evaluated using any routing protocol,however,we have chosen the well-known routing protocols in the literature:Low Energy Adaptive Clustering Hierarchy(LEACH),Power-Efficient Gathering in Sensor Information Systems(PEAGSIS),Partitioned-based Energy-efficient LEACH(PE-LEACH),and the Power-Efficient Gathering in Sensor Information Systems Neural Network(PEAGSIS-NN)recent routing *** compare our optimized method with the Jaya,the Particle Swarm Optimization-based Energy Efficient Clustering(PSO-EEC)protocol,and the hybrid Harmony Search Algorithm and PSO(HSA-PSO)*** efficiencies of our proposed algorithms are evaluated by conducting experiments in terms of the network lifetime(first dead node,half dead nodes,and last dead node),energy consumption,packets to cluster head,and packets to the base *** experimental results were compared with those obtained using the Jaya optimization *** proposed algorithms exhibited the best *** proposed approach successfully prolongs the network lifetime by 71% for the PEAGSIS protocol,51% for the LEACH protocol,10% for the PE-LEACH protocol,and 73% for the PEGSIS-NN protocol;Moreover,it enhances other criteria such as energy conservation,fitness convergence,packets to cluster head,and packets to the base sta

关键词： Wireless sensor networks rao algorithms optimization LEACH PEAGSIS

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Minimum dose path planning for facility inspection based on the discrete rao-combined ABC algorithm in radioactive environments with obstacles

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Nuclear Science and Techniques 2023年第4期34卷 26-40页

作者： Kwon Ryong Hong Su Il O Ryon Hui Kim Tae Song Kim Jang Su Kim Faculty of Energy Science Kim Il Sung UniversityPyongyangDemocratic People’s Republic of Korea High-Tech Research&Development Centre Institute of Information TechnologyKim Il Sung UniversityPyongyangDemocratic People’s Republic of Korea

Workers who conduct regular facility inspections in radioactive environments will inevitably be affected by ***,it is important to optimize the inspection path to ensure that workers are exposed to the least amount of *** study proposes a discrete rao-combined artificial bee colony(ABC)algorithm for planning inspection paths with minimum exposure doses in radioactive environments with *** this algorithm,retaining the framework of the traditional ABC algorithm,we applied the directional solution update rules of rao algorithms at the employed bee stage and onlooker bee stage to increase the exploitation ability of the algorithm and implement discretion using the swap operator and swap *** increase the randomness of solution generation,the chaos algorithm was used at the initialization *** K-opt operation technique was introduced at the scout bee stage to increase the exploration ability of the *** path planning in an environment with complex structural obstacles,an obstacle detour technique using a recursive algorithm was *** evaluate the performance of the proposed algorithm,we performed experimental simulations in three hypothetical environments and compared the results with those of improved particle swarm optimization,chaos particle swarm optimization,improved ant colony optimization,and discrete rao’s *** experimental results show the high performance of the proposed discrete rao-combined ABC algorithm and its obstacle detour capability.

关键词： Minimum dose Path planning Nuclear facility inspection ABC algorithm rao algorithms Swap sequence K-opt operation

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