Loss-Aware Efficient Energy Balancing in Mobile Opportunistic Networks

Energy management is a challenging issue to be addressed in networks consisting of battery-powered devices. With the recently emerging wireless power transfer technology, many studies have utilized wireless charging to address this problem and provide energy ubiquitously to these devices for making them functional continuously. Besides the well- studied problems such as optimal scheduling of mobile chargers, recently an interesting problem of energy balancing among a population of mobile nodes has been considered to prolong the lifetime of the network through the opportunistic energy exchanges between the nodes. The state-of-the-art solutions target an energy balance among the devices as fast as possible but they waste energy due to the loss during peer-to-peer energy transfer. In this paper, we study the energy balancing problem that aims to minimize both the energy difference between nodes and the energy loss during this process. To this end, we propose three different energy sharing protocols between nodes based on different heuristics. Through simulations, we show that all the proposed algorithms show better performance than the state-of-the-art. The third proposed algorithm achieves the best performance by reaching an energy balance between nodes while keeping the maximum possible energy in the network (i.e., minimum loss).

[1]  Eyuphan Bulut,et al.  Charging Skip Optimization with Peer-to-Peer Wireless Energy Sharing in Mobile Networks , 2018, 2018 IEEE International Conference on Communications (ICC).

[2]  Sotiris E. Nikoletseas,et al.  Wireless charging for weighted energy balance in populations of mobile peers , 2017, Ad Hoc Networks.

[3]  Walid Saad,et al.  Finding the best friend in mobile social energy networks , 2015, 2015 IEEE International Conference on Communications (ICC).

[4]  Jie Wu,et al.  Collaborative Mobile Charging , 2015, IEEE Transactions on Computers.

[5]  Walid Saad,et al.  Mobile Energy Sharing Networks: Performance Analysis and Optimization , 2016, IEEE Transactions on Vehicular Technology.

[6]  Eyuphan Bulut,et al.  Energy Sharing Based Content Delivery in Mobile Social Networks , 2019, 2019 IEEE 20th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM).

[7]  Boleslaw K. Szymanski,et al.  Mobile Energy Sharing through Power Buddies , 2017, 2017 IEEE Wireless Communications and Networking Conference (WCNC).

[8]  Boleslaw K. Szymanski,et al.  Is Crowdcharging Possible? , 2018, 2018 27th International Conference on Computer Communication and Networks (ICCCN).

[9]  Sotiris E. Nikoletseas,et al.  Interactive Wireless Charging for Energy Balance , 2016, 2016 IEEE 36th International Conference on Distributed Computing Systems (ICDCS).

[10]  Mike Fraser,et al.  PowerShake: Power Transfer Interactions for Mobile Devices , 2016, CHI.

[11]  Sotiris E. Nikoletseas,et al.  Energy Aware Network Formation in Peer-to-Peer Wireless Power Transfer , 2016, MSWiM.

[12]  Eyuphan Bulut,et al.  Exploiting peer-to-peer wireless energy sharing for mobile charging relief , 2019, Ad Hoc Networks.

[13]  Zhu Han,et al.  Content messenger selection and wireless energy transfer policy in mobile social networks , 2015, 2015 IEEE International Conference on Communications (ICC).

[14]  Djamel Djenouri,et al.  Efficient on-demand multi-node charging techniques for wireless sensor networks , 2017, Comput. Commun..

[15]  Sotiris E. Nikoletseas,et al.  Energy Balance with Peer-to-Peer Wireless Charging , 2016, 2016 IEEE 13th International Conference on Mobile Ad Hoc and Sensor Systems (MASS).

[16]  Boleslaw K. Szymanski,et al.  Opportunistic wireless charging for mobile social and sensor networks , 2014, 2014 IEEE Globecom Workshops (GC Wkshps).

[17]  II. L ITERATURE,et al.  MPF : Prolonging Network Lifetime of Wireless Rechargeable Sensor Networks by Mixing Partial Charge and Full Charge , 2017 .

[18]  Sotiris E. Nikoletseas,et al.  Peer-to-Peer Energy-Aware Tree Network Formation , 2018, MobiWac.