A Type of Node Deployment Strategy Based on Variable Acceleration Motion for Wireless Sensor Networks

For the purpose of balancing node energy consumption in Wireless Sensor Networks and in the premise of considering network coverage, a kind of node broadcasting scheme at fixed intervals under variational acceleration straight-line movement model is proposed in this paper. Simulation results illustrate that the approach proposed in this paper has a superior performance on balance of energy consumption compared to IEA method and uniform broadcasting as well as random broadcasting methods. And the energy saving effect is close to that of the theoretical deployment model of data fusion and nondata fusion.

[1]  Ruqiang Yan,et al.  Energy-Aware Sensor Node Design With Its Application in Wireless Sensor Networks , 2013, IEEE Transactions on Instrumentation and Measurement.

[2]  Ki-Hyung Kim,et al.  Power sharing and control in distributed generation with wireless sensor networks , 2012, PES 2012.

[3]  S. Chamberland,et al.  A wireless sensor network deployment model with target localization constraints , 2012, 2012 15th International Telecommunications Network Strategy and Planning Symposium (NETWORKS).

[4]  Luc Vandendorpe,et al.  Performance of Power-Constrained Estimation in Hierarchical Wireless Sensor Networks , 2013, IEEE Transactions on Signal Processing.

[5]  Massoud Pedram,et al.  Modulation-aware energy balancing in hierarchical wireless sensor networks , 2008, 2008 3rd International Symposium on Wireless Pervasive Computing.

[6]  Y.T. Hou,et al.  On energy provisioning and relay node placement for wireless sensor networks , 2005, IEEE Transactions on Wireless Communications.

[7]  Zhongwen Guo,et al.  Probabilities Based Energy Balance Algorithms for Wireless Sensor Networks: Probabilities Based Energy Balance Algorithms for Wireless Sensor Networks , 2011 .

[8]  Kun She,et al.  Lifetime Analysis on Routing Protocols of Wireless Sensor Networks: Lifetime Analysis on Routing Protocols of Wireless Sensor Networks , 2009 .

[9]  Lu Gang Lifetime Analysis on Routing Protocols of Wireless Sensor Networks , 2009 .

[10]  Xinbing Wang,et al.  Coverage and Energy Consumption Control in Mobile Heterogeneous Wireless Sensor Networks , 2013, IEEE Transactions on Automatic Control.

[11]  Dong Xuan,et al.  Pattern Mutation in Wireless Sensor Deployment , 2010, INFOCOM.

[12]  Xue Wang,et al.  Hierarchical Deployment Optimization for Wireless Sensor Networks , 2011, IEEE Transactions on Mobile Computing.

[13]  Carlos E. Otero,et al.  Intelligent system for predicting wireless sensor network performance in on-demand deployments , 2012, 2012 IEEE Conference on Open Systems.

[14]  Chen Zhi-gang Energy hole avoid by alternately working with different cluster-radius for wireless sensor networks , 2010 .

[15]  Li-Jie Ren,et al.  Energy assignment to prolong the lifetime in heterogeneous wireless sensor network , 2008, 2008 International Conference on Machine Learning and Cybernetics.

[16]  Lionel M. Ni,et al.  Opportunity-Based Topology Control in Wireless Sensor Networks , 2010, IEEE Trans. Parallel Distributed Syst..

[17]  Sun Yong Energy Efficient Node Placement Method of Wireless Sensor Networks Based on Uneven Ring Belt Model , 2006 .

[18]  Veluchamy Malathi,et al.  Distributed Energy Efficient Clustering Algorithm for Wireless Sensor Networks , 2015 .

[19]  Zhongwen Guo,et al.  Distance-based energy efficient placement in wireless sensor networks , 2008, 2008 3rd IEEE Conference on Industrial Electronics and Applications.

[20]  Hao Dai,et al.  An Energy Efficient Clustering Protocol for Surveillance Sensor Networks: An Energy Efficient Clustering Protocol for Surveillance Sensor Networks , 2008 .

[21]  Hossam S. Hassanein,et al.  Relay Node Deployment Strategies in Heterogeneous Wireless Sensor Networks , 2010, IEEE Transactions on Mobile Computing.

[22]  Qian Zhang,et al.  Opportunity-Based Topology Control in Wireless Sensor Networks , 2008, 2008 The 28th International Conference on Distributed Computing Systems.

[23]  Zheng Zhou,et al.  Redundancy deployment strategy based on energy balance for wireless sensor networks , 2012, 2012 International Symposium on Communications and Information Technologies (ISCIT).

[24]  Xie Li Distributed Energy Efficient Data Gathering in Wireless Sensor Networks , 2005 .

[25]  Gerhard P. Hancke,et al.  A Distributed Topology Control Technique for Low Interference and Energy Efficiency in Wireless Sensor Networks , 2012, IEEE Transactions on Industrial Informatics.

[26]  Wang Qin Nodes Placement Strategy for Even Energy Consumption in Wireless Sensor Networks , 2007 .

[27]  Xuxun Liu,et al.  Sensor Deployment of Wireless Sensor Networks Based on Ant Colony Optimization with Three Classes of Ant Transitions , 2012, IEEE Communications Letters.

[28]  Li Qing,et al.  Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks , 2006, Comput. Commun..

[29]  Neil Genzlinger A. and Q , 2006 .