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2012 International Conference on Electrical Insulating Materials and Electrical Engineering, EIMEE 2012

作者： Song, Xiaoying Wen, Tao Guo, Quan Wu, Di China Liaoning Key Lab of Neusoft Security and Computing Technology Dalian Neusoft Information Institute Dalian Liaoning China

ISBN: (纸本)9783037854518

Energy holes problem is one of key issues for wireless sensor networks (WSN). At present, the resolved strategies mainly focus on non-uniform node distribution and adjusting transmission power. However, some costs are incurred by non-uniform node distribution. With the number of nodes increasing, the total number of nodes grows exponentially, and there is a need to improve physical conditions when we increase transmission power significantly in large class of network model;To overcome the limitation, we propose the strategy of data fusion, whose reason is that it is not limited to the size of network, and does not need complicated physical conditions. In this paper, we first establish a network model Multiple-Layer and Multiple-Clusters in corona model (MLMC) to analyze the loading energy consumption. What's more, we consider energy consumption when network is constructed. Furthermore, we fully introduce our strategy of data fusion, and prove two theorems to balance energy consumption for resolving energy holes problem. Finally, we compare and analyze the total energy consumption and network lifetime between before and after data fusion. The experimental results demonstrate the performance advantages of our approach. The best is to read these instructions and follow the outline of this text. © (2012) Trans Tech Publications, Switzerland.

关键词： Energy utilization

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Distributed energy balanced routing for wireless sensor network using energy prediction metric

Distributed energy balanced routing for wireless sensor netw...

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International Conference on Information Science and Control Engineering

作者： Quan Guo Xiaoying Song Liaoning Key Lab of Network Security and Computing Technology Dalian Neusoft Information Institute College of Computer Science and Engineering Northeastern University

ISBN: (纸本)9781509025367

A considerable amount of energy efficient routing algorithms have been proposed to save energy and prolong network lifetime. Those algorithms mainly focus on forwarding packets along the minimum energy path to the sink to merely minimize energy consumption, which causes an unbalanced distribution of residual energy among sensor nodes, and eventually results in a network partition. In this paper, we propose a distributed energy balanced routing algorithm using energy prediction metric (EBEP). The routing scheme considers not only efficient energy but also energy balance. Firstly, with the help of Markov chain model and state conversion model, the future residual energy of front neighbor nodes can be predicted so that it is the most important local information when a node makes routing decision. Furthermore, the function of cost is adopted by our EBEP routing algorithm in order to synthetically evaluate and then select the best candidate of next step. Finally, the experimental results demonstrate the performance advantages of our EBEP routing algorithm.

关键词： Wireless sensor networks Balancing energy consumption Energy-efficient routing Markov chain model Residual energy

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Energy-balanced clustering routing protocol based on task separation in wireless sensor networks

Energy-balanced clustering routing protocol based on task se...

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International Conference on BioMedical Engineering and Informatics (BMEI)

作者： Wei Sun Xiaoying Song Fasheng Wang Software Center Northeastern University Shenyang China Liaoning Key Lab of Network Security and Computing Technology Dalian Neusoft University Information Dalian China

Clustering protocol for data gathering is one of the effective ways to solve the energy hole problem in wireless sensor networks. However, most of the existing clustering protocols focus on the network model with uniform node distribution. They cannot effectively apply to the real network where the sensor nodes are randomly non-uniformly deployed. In this paper, we propose an energy-balanced clustering routing protocol (EBCRP) based on task separation. In this scheme, the network is firstly divided into clusters by using global information. And each of them has the same number of sensor nodes in order to balance the energy consumption of intra-cluster. In succession, task separation, the tasks of traditional single cluster head are separated and achieved by two cluster heads respectively, is proposed to reduce the traffic burden for single cluster head. Then, we explore an energy-efficient and reliable inter-cluster routing algorithm, which considers comprehensively three factors: residual energy, distance and available buffer space of nodes. Simulation results and performance evaluation of EBCRP show significant improvement in network lifetime and energy balance.

关键词： Energy consumption Protocols Head Clustering algorithms Routing Algorithm design and analysis Wireless sensor networks

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Addressing the energy hole problem based on heterogeneous clustering size for wireless sensor networks

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Journal of Computational Information Systems 2014年第9期10卷 3973-3980页

作者： Song, Xiaoying Wen, Tao Guo, Quan Ma, Fengming Zhang, Dongqing Software Center Northeastern University Shenyang 110819 China Liaoning Key Lab. of Network Security and Computing Technology Dalian Neusoft Information Institute Dalian 116023 China School of Management Science Qufu Normal University Rizhao Shandong 276800 China

Clustering is one of the effective ways to solve energy hole problem for Wireless Sensor Network. So far, the approaches of heterogeneous cluster size mainly have concentrated on the design of unequal cluster protocol rather than the optimal cluster radius theoretically. Furthermore, the existing protocols of data gathering fall short in the extra energy dissipation of the rotating cluster head frequently. To overcome these limitations, in this paper, we first present the theoretical analysis to obtain the optimal number of cluster when the energy dissipation is balancing in the whole network. Then, the optimal cluster radius of different rings is obtained by theoretical analysis as well. In succession, a simple and effective strategy is proposed to further prolong the network lifetime on basis of the optimal cluster radius obtained theoretically. Finally, the simulation results demonstrate the performance advantages of our approach. © 2014 Binary Information Press.

关键词： Wireless sensor networks

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