Wireless sensor network–based delay minimization framework for IoT applications


In IoT, the major challenge is processing huge amount of data from different types of sensors and to achieve a reliable data transmission in the sensor network. This makes it a necessity in enhancing Quality of Service, to acquire real-time service with assured quality. The major problem faced in the sensor network is delay, as more time is required to set up a connection with limited spectrum for maintaining numerous state information per connection. Finding the optimal route with efficient bandwidth is not ideal using an existing routing algorithm, both in ad hoc and cognitive network. As a result, a protocol is proposed in this paper to minimize the delay and maximize the effective spectrum allocation. The proposed algorithm is implemented in real-time traffic monitoring application using network simulator to estimate the quality of service. The performance of the proposed system is compared with the existing systems in terms of throughput and delay. The delay decreases by 3% approximately when compared with the existing techniques.

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Internet of things


mobile ad hoc networks


ad hoc on-demand distance vector routing


dynamic source routing


routing protocol for low-power networks


lightweight on-demand ad hoc distance-vector routing protocol


channel aware routing protocol


mobile ad hoc networks


time-division multiple access


dynamic source routing


intrusion detection system


genetic algorithm quality of service delay minimization-AODV


quality of service


spectrum on-demand routing protocol


Simulation of Urban MObility


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Correspondence to N. Gayathri.

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Sankayya, M., Sakthivel, R.k., Gayathri, N. et al. Wireless sensor network–based delay minimization framework for IoT applications. Pers Ubiquit Comput (2021). https://doi.org/10.1007/s00779-020-01517-w

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  • Quality of service
  • Delay
  • Throughput
  • Mobile ad hoc network
  • Cognitive radio network