SEE-MAC: Spectrum and energy efficient-medium access control protocol for Internet of Things

Shweta Pandit, Alok Kumar, Prabhat Thakur, Ghanshyam Singh

Research output: Contribution to journalArticlepeer-review


In this paper, we have devised a method for spectrum-and energy-efficient wireless communication systems for the Internet of Things (IoT) devices that require continuous uninterrupted power for their operation. However, the potential application of the proposed scheme is vast and is relevant to any wireless communication systems deployed for the next generation connected systems that face challenges in spectrum availability and battery charging of the devices. To fulfill the demand of wireless devices, such as sensor nodes deployed in the IoT, we have proposed a spectral-and energy-efficient-medium access control (SEE-MAC) protocol with a radio-frequency energy harvesting (EH) facility. The proposed protocol has integrated wireless power harvesting with cognitive sensor nodes to provide both the energy- and spectrum-efficient wireless communication system. In the proposed SEE-MAC, the cognitive sensor nodes take the advantage of both the idle and active licensed channels of the primary network for data transmission and EH. The proposed system identifies the active licensed channel of the network to be allotted to each cognitive sensor node for EH and idle channel recognition for data transmission. The mathematical analysis has also been performed representing allocation of primary user channels for the EH and data transmission. The closed-form expressions obtained along with simulation results have illustrated the amount of harvested energy, throughput, and energy efficiency achieved by the cognitive sensor nodes of the network.

Original languageEnglish
JournalInternational Journal of Communication Systems
Publication statusAccepted/In press - 2022


  • Internet of Things (IoT)
  • cognitive sensor node
  • energy efficiency
  • energy harvesting
  • throughput
  • wireless power transfer

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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