Wireless sensor network–based delay minimization framework for IoT applications

Abstract

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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Abbreviations

IoT:

Internet of things

MANET :

mobile ad hoc networks

AODV:

ad hoc on-demand distance vector routing

DSR:

dynamic source routing

RPL:

routing protocol for low-power networks

LOADng:

lightweight on-demand ad hoc distance-vector routing protocol

CARP:

channel aware routing protocol

MANET:

mobile ad hoc networks

TDMA:

time-division multiple access

DSR:

dynamic source routing

IDS:

intrusion detection system

GAQoS(DM)-AODV:

genetic algorithm quality of service delay minimization-AODV

QoS:

quality of service

SORP:

spectrum on-demand routing protocol

SUMO:

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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Keywords

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