Swarm Intelligence Based Resource Management for Cooperative Cognitive Radio Network in Smart Hospitals

Muhammad Iqbal, Muhammad Naeem, Ashfaq Ahmed, Muhammad Awais, Alagan Anpalagan, Ayaz Ahmad

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


Intelligent and efficient wireless sensor devices (IEWSD) can greatly facilitate the working of paramedic staff in next generation health care facilities. The wireless network of IEWSDs is composed of tiny low power sensor devices (TLPSD), personal wireless hubs (PWH) and wireless receivers. High proliferation of these IEWSDs into new generation of health care centers has culminated numerous challenges. The major challenges include spectrum overloading, higher data rate requirements, achieving low power consumption and decreasing the computational complexity. In this paper, we propose a shared band cooperative cognitive radio network to tackle these challenges. To help the TLPSD, we use multiple PWHs to transmit sensed information to the sink node acting as the main controller. The use of multiple PWHs can add reliability, leverage the coverage and efficiency of the IEWSDs network in hospitals, nursing homes and health care facilities. We propose an efficient power allocation and PWH placement strategy to maximize the data rate under the cognitive radio interference constraint. The numerical results depict the efficacy of the proposed algorithm having low complexity.

Original languageBritish English
Pages (from-to)571-592
Number of pages22
JournalWireless Personal Communications
Issue number1
StatePublished - 1 Jan 2018


  • Personal wireless hub
  • Smart hospitals
  • Swarm intelligence


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