A Wireless Sensor Network Recharging Strategy by Balancing Lifespan of Sensor Nodes

The life of many wireless sensor networks is limited by their battery-based energy source. Recharging batteries from a distance by the wireless energy transferring technique could lift this restriction. However, how to deploy the mobile charging device requires further research. In this paper, we take the energy constraint of mobile wireless charger (MWC) into consideration and aim at minimizing the total energy consumption by it in recharging cycles. After formulating the optimization problem, we present the MMES-LME method based on the modified MAXMIN Ant System and equalization strategy with the constraint of MWC limited energy. The equalization strategy is presented to equalize the lifespan of all sensor nodes to avoid the untimely death of WSN and balance the consumption of MWC travelling energy and recharging energy. Our experimental results demonstrate improved performance in comparison to the greedy method and MM-LME method, which is based on MAX-MIN Ant System.

[1]  Cong Wang,et al.  Recharging schedules for wireless sensor networks with vehicle movement costs and capacity constraints , 2014, 2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking (SECON).

[2]  Xiaohui Yuan,et al.  A Genetic Algorithm-Based, Dynamic Clustering Method Towards Improved WSN Longevity , 2016, Journal of Network and Systems Management.

[3]  Chunhua Liu,et al.  Title Multiple-receptor wireless power transfer for magnetic sensorscharging on Mars via magnetic resonant coupling , 2015 .

[4]  Daji Qiao,et al.  Prolonging Sensor Network Lifetime Through Wireless Charging , 2010, 2010 31st IEEE Real-Time Systems Symposium.

[5]  Hanif D. Sherali,et al.  On renewable sensor networks with wireless energy transfer , 2011, 2011 Proceedings IEEE INFOCOM.

[6]  Jie Wu,et al.  Collaborative mobile charging for sensor networks , 2012, 2012 IEEE 9th International Conference on Mobile Ad-Hoc and Sensor Systems (MASS 2012).

[7]  Jiming Chen,et al.  Decentralized multi-charger coordination for wireless rechargeable sensor networks , 2015, 2015 IEEE 34th International Performance Computing and Communications Conference (IPCCC).

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

[9]  Guihai Chen,et al.  Minimizing the number of mobile chargers for large-scale wireless rechargeable sensor networks , 2014, Comput. Commun..

[10]  Mohamed Elhoseny,et al.  Balancing Energy Consumption in Heterogeneous Wireless Sensor Networks Using Genetic Algorithm , 2015, IEEE Communications Letters.

[11]  Thomas Stützle,et al.  MAX-MIN Ant System , 2000, Future Gener. Comput. Syst..

[12]  Cong Wang,et al.  Mobile data gathering with Wireless Energy Replenishment in rechargeable sensor networks , 2013, 2013 Proceedings IEEE INFOCOM.

[13]  Dong Han,et al.  The dynamic routing algorithm for renewable wireless sensor networks with wireless power transfer , 2014, Comput. Networks.

[14]  Cheng Hu,et al.  Minimizing the number of mobile chargers in a large-scale wireless rechargeable sensor network , 2015, 2015 IEEE Wireless Communications and Networking Conference (WCNC).

[15]  H. T. Mouftah,et al.  Suresense: sustainable wireless rechargeable sensor networks for the smart grid , 2012, IEEE Wireless Communications.