Energy Balance-Based Steerable Arguments Coverage Method in WSNs

Coverage is one of the important performance indexes in wireless sensor networks. When the target is covered by <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula> degrees by the sensor, more redundant data are generated, which may lead to network congestion, thus reducing the communication and coverage of the network and leading to a rapid depletion of energy. Therefore, this paper presents an energy balance and coverage control algorithm for the overlay network model based on node position relations. Areas are given by the analysis of the overlay network model. In terms of energy consumption, nodes with low energy consumption are scheduled by a given proportion of expected functions between the working nodes and the neighboring nodes, which balances the energy consumption of the entire network and optimizes network resources. Finally, the simulation results show that the proposed <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>-degree coverage algorithm not only improves the coverage quality of the network but also reduces the rapid energy consumption and prolongs the service life of the network.

[1]  Yu-Chee Tseng,et al.  $k$-Angle Object Coverage Problem in a Wireless Sensor Network , 2012, IEEE Sensors Journal.

[2]  Tie Qiu,et al.  A task-efficient sink node based on embedded multi-core SoC for Internet of Things , 2016, Future Gener. Comput. Syst..

[3]  Sam Kwong,et al.  Efficient Motion and Disparity Estimation Optimization for Low Complexity Multiview Video Coding , 2015, IEEE Transactions on Broadcasting.

[4]  Ashraf Hossain,et al.  Impact of sensing model on wireless sensor network coverage , 2012, IET Wirel. Sens. Syst..

[5]  Ala I. Al-Fuqaha,et al.  A Precise Indoor Localization Approach based on Particle Filter and Dynamic Exclusion Techniques , 2013, Netw. Protoc. Algorithms.

[6]  Bin Gu,et al.  Incremental Support Vector Learning for Ordinal Regression , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[7]  M. N. Giriprasad,et al.  ENERGY EFFICIENT COVERAGE PROBLEMS IN WIRELESS Ad Hoc SENSOR NETWORKS , 2011 .

[8]  Shudong Jin,et al.  Prediction or Not? An Energy-Efficient Framework for Clustering-Based Data Collection in Wireless Sensor Networks , 2011, IEEE Transactions on Parallel and Distributed Systems.

[9]  Yong Qi,et al.  Information Potential Fields Navigation in Wireless Ad-Hoc Sensor Networks , 2011, Sensors.

[10]  Jaime Lloret,et al.  Power saving and energy optimization techniques for Wireless Sensor Networks , 2011 .

[11]  Yuxiang Wang,et al.  Construction of Tree Network with Limited Delivery Latency in Homogeneous Wireless Sensor Networks , 2014, Wirel. Pers. Commun..

[12]  Yu Jiang,et al.  Design of Mixed Synchronous/Asynchronous Systems with Multiple Clocks , 2015, IEEE Transactions on Parallel and Distributed Systems.

[13]  Wei Wei,et al.  Gradient-driven parking navigation using a continuous information potential field based on wireless sensor network , 2017, Inf. Sci..

[14]  Siba K. Udgata,et al.  Sensor Deployment and Scheduling for Target Coverage Problem in Wireless Sensor Networks , 2014, IEEE Sensors Journal.

[15]  Jie Li,et al.  Collaborative Target Tracking in Wireless Sensor Networks , 2014, Ad Hoc Sens. Wirel. Networks.

[16]  Yu Zhou,et al.  An Efficient Tree-Based Self-Organizing Protocol for Internet of Things , 2016, IEEE Access.

[17]  Miguel Garcia,et al.  Power Saving and Energy Optimization Techniques for Wireless Sensor Neworks (Invited Paper) , 2011, J. Commun..

[18]  Yu Jiang,et al.  Design and Optimization of Multiclocked Embedded Systems Using Formal Techniques , 2015, IEEE Transactions on Industrial Electronics.

[19]  Yunhao Liu,et al.  FBS-Radar: Uncovering Fake Base Stations at Scale in the Wild , 2017, NDSS.

[20]  Dharma P. Agrawal,et al.  Accurate Distance Estimation Using Fuzzy based combined RSSI/LQI Values in an Indoor Scenario: Experimental Verification , 2012, Netw. Protoc. Algorithms.

[21]  Keqiu Li,et al.  Heterogeneous ad hoc networks: Architectures, advances and challenges , 2017, Ad Hoc Networks.

[22]  L. Wang,et al.  GI/Geom/1 queue based on communication model for mesh networks , 2014, Int. J. Commun. Syst..

[23]  Qun Zhao,et al.  Lifetime Maximization for Connected Target Coverage in Wireless Sensor Networks , 2008, IEEE/ACM Transactions on Networking.

[24]  Kwan-Wu Chin,et al.  Novel Algorithms for Complete Targets Coverage in Energy Harvesting Wireless Sensor Networks , 2014, IEEE Communications Letters.

[25]  Andrey V. Savkin,et al.  A distributed self-deployment algorithm for the coverage of mobile wireless sensor networks , 2009, IEEE Communications Letters.

[26]  Wei Wei,et al.  Optimization Coverage of Wireless Sensor Networks Based on Energy Saving , 2014 .

[27]  D. Manjunath,et al.  On the Path Coverage Properties of Random Sensor Networks , 2007, IEEE Transactions on Mobile Computing.

[28]  Miguel Garcia,et al.  A Hybrid Stochastic Approach for Self-Location of Wireless Sensors in Indoor Environments , 2009, Sensors.

[29]  Jinsong Wu,et al.  Green wireless communications: from concept to reality [Industry Perspectives] , 2012, IEEE Wireless Communications.

[30]  Zhihua Xia,et al.  Steganalysis of least significant bit matching using multi-order differences , 2014, Secur. Commun. Networks.

[31]  Shaojie Tang,et al.  A Delay-Efficient Algorithm for Data Aggregation in Multihop Wireless Sensor Networks , 2011, IEEE Transactions on Parallel and Distributed Systems.

[32]  Bin Zhou,et al.  Holes Detection in Anisotropic Sensornets: Topological Methods , 2012, Int. J. Distributed Sens. Networks.

[33]  Zhihua Xia,et al.  A Secure and Dynamic Multi-Keyword Ranked Search Scheme over Encrypted Cloud Data , 2016, IEEE Transactions on Parallel and Distributed Systems.

[34]  Yunhao Liu,et al.  Energy-Efficient Wake-Up Scheduling for Data Collection and Aggregation , 2010, IEEE Transactions on Parallel and Distributed Systems.

[35]  Ivan Stojmenovic,et al.  On calculating power-aware connected dominating sets for efficient routing in ad hoc wireless networks , 2002, J. Commun. Networks.

[36]  Jie Li,et al.  Polytype target coverage scheme for heterogeneous wireless sensor networks using linear programming , 2014, Wirel. Commun. Mob. Comput..

[37]  Ju-Jang Lee,et al.  A Bipopulation-Based Evolutionary Algorithm for Solving Full Area Coverage Problems , 2013, IEEE Sensors Journal.

[38]  Sajal K. Das,et al.  Centralized and Clustered k-Coverage Protocols for Wireless Sensor Networks , 2012, IEEE Transactions on Computers.

[39]  Peiyi Shen,et al.  Combined Energy Minimization for Image Reconstruction from Few Views , 2012 .

[40]  Jing Zhang,et al.  A Bijection between Lattice-Valued Filters and Lattice-Valued Congruences in Residuated Lattices , 2013 .

[41]  Hari M. Srivastava,et al.  A Local Fractional Integral Inequality on Fractal Space Analogous to Anderson’s Inequality , 2014 .