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Improved leach algorithm for smart home controller

JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2016年第1期16卷 39-47页

作者： Zhou, Weilong Yuan, Chuanglai Ling, Yun Hunan Univ Technol Coll Elect & Informat Engn Zhuzhou Hunan Peoples R China

An improved leach algorithm was proposed for the fading feature in the smart home indoor wireless sensor node channel transmission. The algorithm allocated Area ID number according to the location of the nodes, selected the cluster head combined with the remaining energy of the nodes, and realized the partition clusters. The practicability of the simulation result was assured with the energy consumption model of the loss model for three-order polynomial logarithm distance path. The reliability of data transmission was assured through transmitting the data from different channels with TD-FDMA technology according to the Area ID number of the nodes. Matlab was used for the performance analysis of algorithm, and the simulation result showed that when compared with leach, the death time of the nodes was more concentrated, which can balance the energy consumption of the network nodes. The time for the appearance of monitoring blind spots was short. The network life cycle was extended, and the sensor node was more economical and efficient.

关键词： Smart home wireless sensor node leach algorithm logarithm distance model

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Optimization of RF-Powered Cognitive Wireless Sensor Networks based on Network Coding and leach algorithm 1

Optimization of RF-Powered Cognitive Wireless Sensor Network...

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1st Annual International Conference on Sensor Networks and Signal Processing (SNSP)

作者： Pan, Xiaona Qin, Tuanfa Yang, Xixi Mekonen, Messay-Kabew Cai, Shu Guangxi Univ Sch Comp & Elect Informat Nanning Peoples R China Guangxi Univ Guangxi Key Lab Multimedia Commun & Network Techn Nanning Peoples R China Guangxi Univ Sch Elect Engn Nanning Peoples R China

ISBN: (纸本)9781538674130

The limited spectrum resource is shared by energy harvesting (EH), spectrum sensing, and data transmission in RF-Powered cognitive wireless sensor networks (CWSNs). Aiming at improving the energy and spectrum efficiency under the energy causality and the collision causality, an EH-first optimization scheme for RF-Powered CWSNs is proposed in this paper. Firstly, it combines network coding with low energy adaptive clustering hierarchy (leach) algorithm to achieve the load and energy balance in the data transmission process of energy-constrained sensor units. Then, in order to improve the spectrum efficiency, a spectrum resource allocation strategy based on the EH-first model is proposed in our scheme. The simulation results show that our scheme outperforms other state-of-the-art schemes in terms of average throughput. Furthermore, it reduces the energy outage probability by 5.3%10.1% and 2.25%-4.5% compared with the cluster-based static optimization scheme and cluster-based joint optimization scheme respectively.

关键词： Cognitive Wireless Sensor Networks RF Energy Harvesting Network Coding leach algorithm

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Modified leach algorithm for Wireless Sensor Networks in Agricultural field

Modified LEACH Algorithm for Wireless Sensor Networks in Agr...

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IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (IEEE ICPCSI)

作者： Regmi, Rabin Prasad, P. W. C. Alsadoon, Abeer Elchouemi, A. Sreedharan, Sasikumaran Charles Sturt Univ Study Ctr Sydney NSW Australia Walden Univ Minneapolis MN USA Acad Accreditat & HRD Associate Private Ltd Thiruvananthapuram Kerala India

ISBN: (纸本)9781538608142

with the implementation of sensors technology, the existence of a Wireless Sensors Network (WSN) of great benefit in the agricultural field. Numerous sensor nodes can be deployed to cover large monitoring fields with enough density at low cost. However, the WSN has strict constraints in weight, size and energy. This paper introduces a clustering algorithm that reduces energy dissipation from sensors during data transmission, based on a Low Energy Adaptive Clustering Hierarchy (leach) protocol. leach protocol has been modified to increase lifetime of the sensor network. This modified leach algorithm reduces the consumption of energy at every step in WSN. Comparatively, the modified leach protocol balances the energy in the network and decreases energy consumption by 10% when compared with other protocols.

关键词： Wireless Sensor leach algorithm Agricultural field

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leach algorithm based on Energy Consumption Equilibrium

LEACH Algorithm based on Energy Consumption Equilibrium

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作者： Yushan Chen Chong Shen Kun Zhang Haifeng Wang Qian Gao State Key Laboratory of Marine Resources Utilization in South China Sea Hainan University College of Information Science and Technology Hainan University College of Ocean Information Engineering Hainan Tropical Ocean University

Aiming at the problem of the network lifetime of wireless sensor network(WSN),this paper presents an optimization algorithm based on leach *** the optimization algorithm,some nodes in the vicinity of the base station connect to the base station directly,we extend the network life by increasing the energy consumption of the base station to share the energy consumption with the network;after the cluster is established,we elect secondary cluster head from the cluster,secondary cluster head collect information and pass the information to the cluster head,and the cluster head pass the information to the base *** by simulation,this algorithm can extend approximately twice the life cycle compared with the traditional algorithm leach and DEEC.

关键词： Wireless sensor network leach algorithm Cluster head selection

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The Improvement of leach algorithm in Wireless Sensor Networks

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INTERNATIONAL JOURNAL OF ONLINE ENGINEERING 2016年第11期12卷 46-51页

作者： Dong Shujuan Li Cong Yellow River Conservancy Tech Inst Kaifeng Henan Peoples R China

This paper covers a novel routing algorithm called Multi-Group based leach (MG-leach) that has been utilized the redundant deployed sensor nodes to improve the network life time. It has been suppressing the correlated data gathered by the sensor nodes by monitoring the similar event. Thus reduces not only the data transmission inside the clusters but also conserve the energy of deployed sensor nodes consequently improve the overall network lifetime. This is a simple idea that has been implemented over leach protocol however it is valid for almost all clustering based routing algorithms/protocols specially those variants based upon frame work of leach. The proposed routing algorithm has been simulated using MATLAB to verify the efficiency in enhancing network life time. A critical evaluation of routing algorithm is conducted to determine the relevance and applicability in increasing network life time. Simulation results confirmed that it has performed better than leach and enhanced network life time up to approximately 90%.

关键词： improvement research leach algorithm transformation strategy wireless sensor networks

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Collaborative Clustering Selection algorithm Based on T-leach

Collaborative Clustering Selection Algorithm Based on T-LEAC...

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作者： Hui WANG Ming-liang DENG Ping-yuan LIANG Loudi Institute of Vocational and Technical

In order to solve the problem of WSN data collection in smart greenhouse under step terrain, factors such as energy consumption, distance and node density are considered in the clustering process, and the leach algorithm is improved to achieve energy saving and energy balance. The terrace model of multi-layer stochastic distributed WSN system is established, and the terraced CMIMO hierarchical clustering algorithm, namely T-leach algorithm, is proposed. The rationality and effectiveness of the algorithm are verified by simulation.

关键词： leach algorithm Energy balance WSN CMIM

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Application of corporate image integrating Zigbee technology in brand APP interface design using IoT technology

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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2023年第5期45卷 8317-8333页

作者： Gu, Xinxin Shandong Management Univ Sch Human Jinan Shandong Peoples R China

In modern social APP interface design, how to effectively improve the corporate image and create the connotation of corporate culture is a significant key problem. With the emergence of APP, a growing number of people use them, increasing communication energy usage and slowing network operation. To improve app compatibility and speed, it is necessary to combine it with the most advanced and dependable technology, such as ZigBee, which is regarded as the best solution for wireless sensor networks. The ZigBee protocol is primarily used to incorporate working and data transmission in wireless sensor networks that are based on ZigBee technology. As a result, incorporating ZigBee technology into APP interface design in the Internet of Things (IoT) domain can significantly improve brand APP interface design's network operation efficiency. This paper presents a novel approach to enhance the performance and corporate image of brand mobile applications (APPs) by integrating ZigBee technology. The primary objective is to improve the operating efficiency and user experience of the brand APPs. The study involves a comparison between 10 brand APPs that have not integrated ZigBee technology and 10 brand APPs that have adopted ZigBee technology. The experimental results indicate that the operating efficiency of the brand APPs incorporating ZigBee technology is 97%, while the efficiency of the brand APPs without ZigBee technology is 85%, resulting in a notable difference of 12%. To assess the effectiveness of ZigBee technology integration, the study conducted experiments with 100 users, randomly assigned to interact with both types of brand APPs. The user feedback and observations revealed that brand APPs integrated with ZigBee technology exhibit significantly higher operating efficiency, contributing to a 12% improvement over their counterparts lacking ZigBee integration. Moreover, 90 out of 100 users reported a preference for the brand APPs integrated with ZigBee technology due t

关键词： APP interface ZigBee technology Internet of Things Clustering algorithm leach algorithm Internet

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IoT coverage based on intelligent algorithm

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CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2019年第6-Sup期22卷 14983-14989页

作者： Ge, Qianqian Zhejiang Business Technol Inst Ningbo 315012 Zhejiang Peoples R China

In order to improve the coverage of IoT, according to the characteristics of mass data, the data fusion in IoT coverage was hierarchically classified. At the same time, the leach routing algorithm and fuzzy algorithm were introduced in detail. The data was fused correctly. The routing algorithm was improved. The improved leach algorithm and fuzzy algorithm were simulated and the results were analyzed. The results showed that when the massive data was fused, the improved intelligent algorithm maximized the IoT coverage. Therefore, the improved algorithm can greatly reduce the node energy consumption. At the same time, it saves time.

关键词： Intelligent algorithm Internet of things coverage Data fusion leach algorithm Fuzzy algorithm

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Research on hierarchical routing protocol based on optimal clustering head for wireless sensor networks

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INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL 2012年第4期15卷 331-337页

作者： Jin, Lizhong Chang, Guiran Sun, Dawei Zhou, Na Jia, Jie Liu, Chunxiao Northeastern Univ Sch Informat Sci & Engn Shenyang 110819 Liaoning Peoples R China

Developing an energy-efficient clustering protocol is one of the major issues in wireless sensor networks. In order to reduce overall energy consumption of wireless sensor networks, prolong network lifetime, the shortcomings of leach algorithm are studied. The clustering algorithm is composed of two phases, the cluster building phase and stable data communication phase. In this paper, the cluster head selection of the algorithm is improved. According to the residual energy of sensor nodes, communication energy consumption of neighbour nodes and the distance between the nodes and the sink nodes, a hierarchical routing protocol based on optimal clustering head for wireless sensor networks is proposed. On condition that the residual energy of the node exceeds a certain threshold, the probability of being clustering head is affected by the nodes' network parameters. Simulation results show that the proposed algorithm can balance the energy consumption and prolong the network lifetime.

关键词： wireless sensor networks WSNs leach algorithm routing protocol clustering head optimisation modelling control

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Multi-path unequal clustering protocol based on ant colony algorithm in wireless sensor networks

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IET NETWORKS 2020年第2期9卷 56-63页

作者： Wang, Weijing Tong, Guoxiang Univ Shanghai Sci & Technol Sch Opt Elect & Comp Engn Shanghai Key Lab Modern Opt Syst Shanghai 200093 Peoples R China

For the requirement of low power consumption in wireless sensor networks, from the point of view of prolonging the life cycle of the whole network and improving the utilisation rate of the network, this study proposes a leach-EA protocol based on leach algorithm. In order to increase the probability of being elected as a cluster head node so that more nodes in the network can share the transmission energy equally, the residual energy factor and the influence factor of node distance are added to the cluster head election threshold. Considering the energy loss of single-hop transmission and the limitation of single-hop transmission on the maximum transmission distance of equipment, the ant colony algorithm is used to find the optimal transmission path for nodes iteratively. Finally, by comparing with leach, MODleach, leach-GA, simulation experiments show that leach-EA protocol has significantly improved in network life cycle, total network data transmission and cluster head number. The network utilisation rate of leach-EA is 431.3, 135.7 and 38.6% higher than the other three algorithms, respectively.

关键词： protocols wireless sensor networks routing protocols probability leach-GA leach-EA protocol network life cycle total network data transmission cluster head number network utilisation rate multipath unequal clustering protocol ant colony algorithm wireless sensor networks low power consumption leach algorithm cluster head node transmission energy residual energy factor influence factor node distance cluster head election threshold energy loss single-hop transmission optimal transmission path

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