An Adaptive MAC Protocol for Wireless Rechargeable Sensor Networks

In the existing medium access control (MAC) protocols of rechargeable sensor networks, the maximum charging threshold of sensor nodes generally set to a fixed value based on nodes battery capacity. It leads to the channel occupied due to the long time charging of node so that the data cannot be transmitted on time. In addition, the minimum charging threshold is also set to a fixed value. This will lead to the death of the nodes due to the energy depletion while nodes cannot replenish energy in time. In this paper we put forward an adaptive charging MAC protocol called AC-MAC with double adaptive thresholds to solve the above problems. The nodes can adjust the maximum and minimum charging thresholds based on the number of transmission or receiving packets, the channel idle time and the power of transmission and reception. By analyzing the protocol, it can ensure the minimum energy level of the node, which can effectively extend the network lifetime and reduce the end to end transmission delay.

[1]  Dong In Kim,et al.  Performance Analysis and Optimization of TDMA Network With Wireless Energy Transfer , 2014, IEEE Transactions on Wireless Communications.

[2]  Zhu Han,et al.  Wireless Networks With RF Energy Harvesting: A Contemporary Survey , 2014, IEEE Communications Surveys & Tutorials.

[3]  Faisal Karim Shaikh,et al.  Energy harvesting in wireless sensor networks: A comprehensive review , 2016 .

[4]  Prusayon Nintanavongsa,et al.  A Survey on RF Energy Harvesting: Circuits and Protocols , 2014 .

[5]  Hiroyuki Yomo,et al.  A Fair Polling Scheme for Energy Harvesting Wireless Sensor Networks , 2015, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring).

[6]  Mianxiong Dong,et al.  A Green TDMA Scheduling Algorithm for Prolonging Lifetime in Wireless Sensor Networks , 2017, IEEE Systems Journal.

[7]  Prusayon Nintanavongsa,et al.  RF-MAC: A Medium Access Control Protocol for Re-Chargeable Sensor Networks Powered by Wireless Energy Harvesting , 2014, IEEE Transactions on Wireless Communications.

[8]  Yin Li,et al.  An intelligent solar energy-harvesting system for wireless sensor networks , 2015, EURASIP J. Wirel. Commun. Netw..

[9]  Long Chen,et al.  Energy-balanced cooperative transmission based on relay selection and power control in energy harvesting wireless sensor network , 2016, Comput. Networks.

[10]  Marco Di Felice,et al.  Device characterization and cross-layer protocol design for RF energy harvesting sensors , 2013, Pervasive Mob. Comput..

[11]  Selahattin Kosunalp.  MAC Protocols for Energy Harvesting Wireless Sensor Networks: Survey , 2015 .

[12]  Nima Jafari Navimipour,et al.  Deployment strategies in the wireless sensor network: A comprehensive review , 2016, Comput. Commun..

[13]  Hwee Pink Tan,et al.  Probabilistic polling for multi-hop energy harvesting wireless sensor networks , 2012, 2012 IEEE International Conference on Communications (ICC).

[14]  Jelena V. Misic,et al.  Impact of Network Load on the Performance of a Polling MAC With Wireless Recharging of Nodes , 2015, IEEE Transactions on Emerging Topics in Computing.

[15]  Cong Wang,et al.  A hybrid framework combining solar energy harvesting and wireless charging for wireless sensor networks , 2016, IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications.

[16]  Hwee Pink Tan,et al.  Design and performance analysis of MAC schemes for Wireless Sensor Networks Powered by Ambient Energy Harvesting , 2011, Ad Hoc Networks.

[17]  Jelena Mišić,et al.  A polling MAC for wireless sensor networks with RF recharging of sensor nodes , 2014, 2014 27th Biennial Symposium on Communications (QBSC).

[18]  Jelena V. Misic,et al.  A polling MAC with reliable RF recharging of sensor nodes , 2015, 2015 IEEE Wireless Communications and Networking Conference (WCNC).