LBCSM: Load Balanced Constant Scheduling Model for Node Recharging in Wireless Rechargeable Sensor Networks using Multiple Mobile Charging Device
G. R. Sakthidharan1, P.Saravanan2, P. Chandra Sekhar Reddy3, V. Saravanan4

1Dr. G. R. Sakthidharan*, Professor, CSE, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India.
2Dr.P.Saravanan, Associate Professor, CSE, S.R.M University, New Delhi, India. Email:
3Dr. P. Chandra Sekhar Reddy,Professor, CSE, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India.
4Dr. V.Saravanan, Associate Professor, CSE, K.L. University, Vaddeswaram, India Email: 

Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 3543-3550 | Volume-8 Issue-12, October 2019. | Retrieval Number: L26271081219/2019©BEIESP | DOI: 10.35940/ijitee.L2627.1081219
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Abstract: In large-scale Wireless Rechargeable Sensor Networks (WRSNs), limited battery capacity of nodes may reduce the network longevity. For enhancing the network lifetime, the nodes in the network can recharged periodically based on their operational executions. The rechargeable sensor nodes in the network are replenished using external sources. Using single charging device can be feasible only for small scale WSNs, whereas in managing large scale wireless sensor networks, multiple charging devices are to be modelled for efficiently recharging the sensor nodes, since single devices are having energy constraints to recharge more number of nodes. On focussing those issues, this paper contributes on developing a new model called Load Balanced Constant Scheduling (LBCS) for the replenishment of the sensor nodes. Moreover, multiple Mobile Charging Devices (MCDs) are used here for recharging the sensor nodes effectively, without facing resource limitations. In this model, constant and time based charge scheduling approach and charging route for MCD has been frame optimally. The scheduling mode focuses on a concrete classification procedure for avoiding needless visits of nodes having adequate energy. Providing further improvement in schedule based node replenishment, algorithm for Charging Route Definition (CRD) is also developed in this work. For evidencing the efficiency of the proposed model, the work is simulated and evaluated. The simulation results are compared with some existing models based on the network lifetime, time taken for recharge and efficiency.
Keywords: Wireless Rechargeable Sensor Network (WRSN), Load Balanced Constant Scheduling (LBCS), Mobile Charging Devices (MCD), Charging Route Definition (CRD).
Scope of the Article: Cloud, Sensor Cloud and Mobile Cloud Security