The Study of Cross-layer Optimization for Wireless Rechargeable Sensor Networks Implemented in Coal Mines

Wireless sensor networks deployed in coal mines could help companies provide workers working in coal mines with more qualified working conditions. With the underground information collected by sensor nodes at hand, the underground working conditions could be evaluated more precisely. However, sensor nodes may tend to malfunction due to their limited energy supply. In this paper, we study the cross-layer optimization problem for wireless rechargeable sensor networks implemented in coal mines, of which the energy could be replenished through the newly-brewed wireless energy transfer technique. The main results of this article are two-fold: firstly, we obtain the optimal relay nodes’ placement according to the minimum overall energy consumption criterion through the Lagrange dual problem and KKT conditions; secondly, the optimal strategies for recharging locomotives and wireless sensor networks are acquired by solving a cross-layer optimization problem. The cyclic nature of these strategies is also manifested through simulations in this paper.

[1]  Shusen Yang,et al.  Distributed Networking in Autonomic Solar Powered Wireless Sensor Networks , 2013, IEEE Journal on Selected Areas in Communications.

[2]  Nathalie Mitton,et al.  Greedy Routing Recovery Using Controlled Mobility in Wireless Sensor Networks , 2013, ADHOC-NOW.

[3]  Anthony Ephremides,et al.  Effect of energy harvesting on stable throughput in cooperative relay systems , 2016, Journal of Communications and Networks.

[4]  Francesco Grimaccia,et al.  Architecture and Methods for Innovative Heterogeneous Wireless Sensor Network Applications , 2012, Remote. Sens..

[5]  Yunhao Liu,et al.  Underground coal mine monitoring with wireless sensor networks , 2009, TOSN.

[6]  John S. Thompson,et al.  Stability Analysis and Power Optimization for Energy Harvesting Cooperative Networks , 2012, IEEE Signal Processing Letters.

[7]  Yin Liu,et al.  The Research of Optimal Algorithm for Task Scheduling Underground Wireless Network Based on Distributed Computing , 2010, 2010 International Conference on Manufacturing Automation.

[8]  H. S. Wolff,et al.  iRun: Horizontal and Vertical Shape of a Region-Based Graph Compression , 2022, Sensors.

[9]  Anthony Ephremides,et al.  Network-level cooperation in energy harvesting wireless networks , 2013, 2013 IEEE Global Conference on Signal and Information Processing.

[10]  Mihail L. Sichitiu,et al.  An asynchronous scheduled MAC protocol for wireless sensor networks , 2013, Comput. Networks.

[11]  Wonbin Hong,et al.  Integrated Resonant Structure for Simultaneous Wireless Power Transfer and Data Telemetry , 2012, IEEE Antennas and Wireless Propagation Letters.

[12]  M. Soljačić,et al.  Wireless Power Transfer via Strongly Coupled Magnetic Resonances , 2007, Science.

[13]  Chunyan Miao,et al.  A survey and projection on medium access control protocols for wireless sensor networks , 2012, CSUR.

[14]  C. Zhang,et al.  A Methodology for Making a Three-Coil Wireless Power Transfer System More Energy Efficient Than a Two-Coil Counterpart for Extended Transfer Distance , 2015, IEEE Transactions on Power Electronics.

[15]  Sai Chun Tang,et al.  Power Loss Analysis and Comparison of Segmented and Unsegmented Energy Coupling Coils for Wireless Energy Transfer , 2015, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[16]  K. A. Unnikrishna Menon,et al.  Power optimization strategies for wireless sensor networks in coal mines , 2012, 2012 Ninth International Conference on Wireless and Optical Communications Networks (WOCN).

[17]  Selcuk Okdem,et al.  Cluster based wireless sensor network routing using artificial bee colony algorithm , 2012, Wirel. Networks.

[18]  M. Kesler Highly Resonant Wireless Power Transfer: Safe, Efficient, and over Distance , 2013 .

[19]  U. Nazir,et al.  Classification of localization algorithms for wireless sensor network: A survey , 2012, 2012 International Conference on Open Source Systems and Technologies.

[20]  Anthony Ephremides,et al.  On the Stability of Random Multiple Access With Stochastic Energy Harvesting , 2015, IEEE Journal on Selected Areas in Communications.

[21]  D. Karaboga,et al.  A comparative study on Differential Evolution based routing implementations for wireless sensor networks , 2012, 2012 International Symposium on Innovations in Intelligent Systems and Applications.

[22]  Chunting Chris Mi,et al.  Wireless Power Transfer for Electric Vehicle Applications , 2015, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[23]  Anthony Ephremides,et al.  The stability region of random multiple access under stochastic energy harvesting , 2011, 2011 IEEE International Symposium on Information Theory Proceedings.