Main Reference PaperMany-Objective Sensor Selection in IoT Systems, IEEE Wireless Communications, June 2017 [Contiki-Cooja Simulator]
  • The proposed work applies evolutionary algorithms (EAs) to solve the multiple objective problem in IoT. The evolutionary algorithm is used in handling the multi objectives of the sensor selection problem in the IoT system. To do this, the proposed work takes into account the communication energy consumption, energy balancing on all devices, energy harvesting, and QoS. The problem is resolved by a tailored many-objective EA.

+ Description
  • The proposed work applies evolutionary algorithms (EAs) to solve the multiple objective problem in IoT. The evolutionary algorithm is used in handling the multi objectives of the sensor selection problem in the IoT system. To do this, the proposed work takes into account the communication energy consumption, energy balancing on all devices, energy harvesting, and QoS. The problem is resolved by a tailored many-objective EA.

  • To improve the IoT communication using evolutionary algorithm

  • To identify the factors that influence the NB-IoT using performance evaluation.

+ Aim & Objectives
  • To improve the IoT communication using evolutionary algorithm

  • To identify the factors that influence the NB-IoT using performance evaluation.

  • A technique is contributed to improve the performance by formulating the multi-objective optimization problem using different combination of network factors.

+ Contribution
  • A technique is contributed to improve the performance by formulating the multi-objective optimization problem using different combination of network factors.

  • OS : Ubuntu 12.04 LTS 64bit, Instant Contiki-3.0 and Vmware Player 12.5.6

  • Simulator: Cooja , Language : C.

+ Software Tools & Technologies
  • OS : Ubuntu 12.04 LTS 64bit, Instant Contiki-3.0 and Vmware Player 12.5.6

  • Simulator: Cooja , Language : C.

  • B.E / B.Tech / M.E / M.Tech

+ Project Recommended For
  • B.E / B.Tech / M.E / M.Tech

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