Koushik Sinha
Associate Professor
School of Computing
 Southern Illinois University
 Carbondale, IL, USA 62901
 Phone: +1 618-453-3922
Fax: +1 618-453-6044
E-mail: koushik.sinha@cs.siu.edu


Ongoing Research Activities
  • Scalable, Mobility-tolerant, QoS-aware Routing in 5G networks: devising new routing protocols that transparently utilizes both the BS interconnection network and the D2D based ad hoc network to minimize end-to-end packet latency, and provide various application-level QoS guarantees in the face of varying degrees of node mobility.


  • Placement of Small Cell Base Stations (BSs) in ultra-dense 5G networks: fast and efficient placement strategies for the BSs while excluding restricted/forbidden zones from placement consideration while jointly minimizing
    • total transmission energy wastage
    • total bandwidth requirement needed to satisfy the aggregate channel demands of all the BSs

  • Communication through Silence: Energy has become a primary concern in the design and operation of any wireless network, particularly in networks with large number of battery-driven devices. 5G’s goal is to extend battery life by 10 times for low power Massive Machine Communication (MMC) devices. A significant number of such MMC devices will participate in the form of WSNs for offering services like smart cities, industrial process control, environment monitoring and security. Hence, our goal is to use a novel approach of communication through silence to redesign the communication protocol stack for minimizing the energy required to communicate messages at both the transmitters and receivers.


  • CrowdCloud: designing a hybrid computing platform that can intelligently orchestrate machine and human computing resources in order to facilitate richer and superior analytics on unstructured data than either of the two types of computing agents in isolation. Our goal is to complete a given data-parallel task S with quality/accuracy of the results being at least A*, while ensuring that the total money spent is less than budget B* and the total time taken is less than T*. Specific research topics that we aim to address are:
    • SLO-driven Dynamic Task Execution Management on a hybrid computing platform consisting of human and machine computing agents
    • Crowd Recruitment by leveraging social networks