Complexity Analysis of Data Aggregation and Routing Algorithms for Automated Utility Management Using WSN

Raja Jitendra Nayaka; Rajashekhar Chanabasappa Biradar

doi:doi:10.11648/j.ijssn.20200801.12

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Complexity Analysis of Data Aggregation and Routing Algorithms for Automated Utility Management Using WSN

Raja Jitendra Nayaka, Rajashekhar Chanabasappa Biradar

Received: 18 May 2020 Accepted: 2 June 2020 Published: 17 June 2020

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Abstract

At present most of the houses in the country have the traditional electromechanical or digital utility usage meters, water meter, and gas meters. Presently most of the utility meter reading, billing system and utility management is not automated. The recent advances in the wireless sensor networks (WSNs) have made strong impact on the development of low cost remote monitoring systems. The WSN based remote automated utility management, remote meter reading and billing for future smart cities will enhance the quality and service by government. This increases the revenue of government. Due to unpleasant trend in the growth of congestion in urban areas, the smart utility meter data traffic aggregation and routing faces more challenges in the traditional automated service departments. In this work we propose an integrated architecture that include electricity, water and gas utility meters and discuss the methodology for Data Aggregation and Routing for Integrated Public Utility Services (IPUS-DAR) using WSN network. This work aims to integrate three types of utility meters and minimize redundant routing data in the network by applying data aggregation that improves traffic performance. We discuss the computational complexity of proposed Data Routing with Data Aggregation algorithm. The comparative analysis of proposed Data Routing with Data Aggregation methodology with previous methods is analyzed. We investigate performance metrics which include packet delivery ratio, end-to-end delay, jitter, throughput and energy consumption with respect to varying network size using QUALNET.

DOI	10.11648/j.ijssn.20200801.12
Published in	International Journal of Sensors and Sensor Networks (Volume 8, Issue 1, March 2020)
Page(s)	11-22
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Smart Metering Infrastructures (SMI), Electrical Gas Water Sensor Node (EWGSN), WSN, QoS, IPUS-DAR

References

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APA Style

Raja Jitendra Nayaka, Rajashekhar Chanabasappa Biradar. (2020). Complexity Analysis of Data Aggregation and Routing Algorithms for Automated Utility Management Using WSN. International Journal of Sensors and Sensor Networks, 8(1), 11-22. https://doi.org/10.11648/j.ijssn.20200801.12

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ACS Style

Raja Jitendra Nayaka; Rajashekhar Chanabasappa Biradar. Complexity Analysis of Data Aggregation and Routing Algorithms for Automated Utility Management Using WSN. Int. J. Sens. Sens. Netw. 2020, 8(1), 11-22. doi: 10.11648/j.ijssn.20200801.12

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AMA Style

Raja Jitendra Nayaka, Rajashekhar Chanabasappa Biradar. Complexity Analysis of Data Aggregation and Routing Algorithms for Automated Utility Management Using WSN. Int J Sens Sens Netw. 2020;8(1):11-22. doi: 10.11648/j.ijssn.20200801.12

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@article{10.11648/j.ijssn.20200801.12,
  author = {Raja Jitendra Nayaka and Rajashekhar Chanabasappa Biradar},
  title = {Complexity Analysis of Data Aggregation and Routing Algorithms for Automated Utility Management Using WSN},
  journal = {International Journal of Sensors and Sensor Networks},
  volume = {8},
  number = {1},
  pages = {11-22},
  doi = {10.11648/j.ijssn.20200801.12},
  url = {https://doi.org/10.11648/j.ijssn.20200801.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijssn.20200801.12},
  abstract = {At present most of the houses in the country have the traditional electromechanical or digital utility usage meters, water meter, and gas meters. Presently most of the utility meter reading, billing system and utility management is not automated. The recent advances in the wireless sensor networks (WSNs) have made strong impact on the development of low cost remote monitoring systems. The WSN based remote automated utility management, remote meter reading and billing for future smart cities will enhance the quality and service by government. This increases the revenue of government. Due to unpleasant trend in the growth of congestion in urban areas, the smart utility meter data traffic aggregation and routing faces more challenges in the traditional automated service departments. In this work we propose an integrated architecture that include electricity, water and gas utility meters and discuss the methodology for Data Aggregation and Routing for Integrated Public Utility Services (IPUS-DAR) using WSN network. This work aims to integrate three types of utility meters and minimize redundant routing data in the network by applying data aggregation that improves traffic performance. We discuss the computational complexity of proposed Data Routing with Data Aggregation algorithm. The comparative analysis of proposed Data Routing with Data Aggregation methodology with previous methods is analyzed. We investigate performance metrics which include packet delivery ratio, end-to-end delay, jitter, throughput and energy consumption with respect to varying network size using QUALNET.},
 year = {2020}
}

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TY  - JOUR
T1  - Complexity Analysis of Data Aggregation and Routing Algorithms for Automated Utility Management Using WSN
AU  - Raja Jitendra Nayaka
AU  - Rajashekhar Chanabasappa Biradar
Y1  - 2020/06/17
PY  - 2020
N1  - https://doi.org/10.11648/j.ijssn.20200801.12
DO  - 10.11648/j.ijssn.20200801.12
T2  - International Journal of Sensors and Sensor Networks
JF  - International Journal of Sensors and Sensor Networks
JO  - International Journal of Sensors and Sensor Networks
SP  - 11
EP  - 22
PB  - Science Publishing Group
SN  - 2329-1788
UR  - https://doi.org/10.11648/j.ijssn.20200801.12
AB  - At present most of the houses in the country have the traditional electromechanical or digital utility usage meters, water meter, and gas meters. Presently most of the utility meter reading, billing system and utility management is not automated. The recent advances in the wireless sensor networks (WSNs) have made strong impact on the development of low cost remote monitoring systems. The WSN based remote automated utility management, remote meter reading and billing for future smart cities will enhance the quality and service by government. This increases the revenue of government. Due to unpleasant trend in the growth of congestion in urban areas, the smart utility meter data traffic aggregation and routing faces more challenges in the traditional automated service departments. In this work we propose an integrated architecture that include electricity, water and gas utility meters and discuss the methodology for Data Aggregation and Routing for Integrated Public Utility Services (IPUS-DAR) using WSN network. This work aims to integrate three types of utility meters and minimize redundant routing data in the network by applying data aggregation that improves traffic performance. We discuss the computational complexity of proposed Data Routing with Data Aggregation algorithm. The comparative analysis of proposed Data Routing with Data Aggregation methodology with previous methods is analyzed. We investigate performance metrics which include packet delivery ratio, end-to-end delay, jitter, throughput and energy consumption with respect to varying network size using QUALNET.
VL  - 8
IS  - 1
ER  -

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Author Information

Raja Jitendra Nayaka

School of Electronics and Communication, Reva University, Bangalore, India
Rajashekhar Chanabasappa Biradar

School of Electronics and Communication, Reva University, Bangalore, India

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APA Style

Raja Jitendra Nayaka, Rajashekhar Chanabasappa Biradar. (2020). Complexity Analysis of Data Aggregation and Routing Algorithms for Automated Utility Management Using WSN. International Journal of Sensors and Sensor Networks, 8(1), 11-22. https://doi.org/10.11648/j.ijssn.20200801.12

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ACS Style

Raja Jitendra Nayaka; Rajashekhar Chanabasappa Biradar. Complexity Analysis of Data Aggregation and Routing Algorithms for Automated Utility Management Using WSN. Int. J. Sens. Sens. Netw. 2020, 8(1), 11-22. doi: 10.11648/j.ijssn.20200801.12

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AMA Style

Raja Jitendra Nayaka, Rajashekhar Chanabasappa Biradar. Complexity Analysis of Data Aggregation and Routing Algorithms for Automated Utility Management Using WSN. Int J Sens Sens Netw. 2020;8(1):11-22. doi: 10.11648/j.ijssn.20200801.12

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@article{10.11648/j.ijssn.20200801.12,
  author = {Raja Jitendra Nayaka and Rajashekhar Chanabasappa Biradar},
  title = {Complexity Analysis of Data Aggregation and Routing Algorithms for Automated Utility Management Using WSN},
  journal = {International Journal of Sensors and Sensor Networks},
  volume = {8},
  number = {1},
  pages = {11-22},
  doi = {10.11648/j.ijssn.20200801.12},
  url = {https://doi.org/10.11648/j.ijssn.20200801.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijssn.20200801.12},
  abstract = {At present most of the houses in the country have the traditional electromechanical or digital utility usage meters, water meter, and gas meters. Presently most of the utility meter reading, billing system and utility management is not automated. The recent advances in the wireless sensor networks (WSNs) have made strong impact on the development of low cost remote monitoring systems. The WSN based remote automated utility management, remote meter reading and billing for future smart cities will enhance the quality and service by government. This increases the revenue of government. Due to unpleasant trend in the growth of congestion in urban areas, the smart utility meter data traffic aggregation and routing faces more challenges in the traditional automated service departments. In this work we propose an integrated architecture that include electricity, water and gas utility meters and discuss the methodology for Data Aggregation and Routing for Integrated Public Utility Services (IPUS-DAR) using WSN network. This work aims to integrate three types of utility meters and minimize redundant routing data in the network by applying data aggregation that improves traffic performance. We discuss the computational complexity of proposed Data Routing with Data Aggregation algorithm. The comparative analysis of proposed Data Routing with Data Aggregation methodology with previous methods is analyzed. We investigate performance metrics which include packet delivery ratio, end-to-end delay, jitter, throughput and energy consumption with respect to varying network size using QUALNET.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Complexity Analysis of Data Aggregation and Routing Algorithms for Automated Utility Management Using WSN
AU  - Raja Jitendra Nayaka
AU  - Rajashekhar Chanabasappa Biradar
Y1  - 2020/06/17
PY  - 2020
N1  - https://doi.org/10.11648/j.ijssn.20200801.12
DO  - 10.11648/j.ijssn.20200801.12
T2  - International Journal of Sensors and Sensor Networks
JF  - International Journal of Sensors and Sensor Networks
JO  - International Journal of Sensors and Sensor Networks
SP  - 11
EP  - 22
PB  - Science Publishing Group
SN  - 2329-1788
UR  - https://doi.org/10.11648/j.ijssn.20200801.12
AB  - At present most of the houses in the country have the traditional electromechanical or digital utility usage meters, water meter, and gas meters. Presently most of the utility meter reading, billing system and utility management is not automated. The recent advances in the wireless sensor networks (WSNs) have made strong impact on the development of low cost remote monitoring systems. The WSN based remote automated utility management, remote meter reading and billing for future smart cities will enhance the quality and service by government. This increases the revenue of government. Due to unpleasant trend in the growth of congestion in urban areas, the smart utility meter data traffic aggregation and routing faces more challenges in the traditional automated service departments. In this work we propose an integrated architecture that include electricity, water and gas utility meters and discuss the methodology for Data Aggregation and Routing for Integrated Public Utility Services (IPUS-DAR) using WSN network. This work aims to integrate three types of utility meters and minimize redundant routing data in the network by applying data aggregation that improves traffic performance. We discuss the computational complexity of proposed Data Routing with Data Aggregation algorithm. The comparative analysis of proposed Data Routing with Data Aggregation methodology with previous methods is analyzed. We investigate performance metrics which include packet delivery ratio, end-to-end delay, jitter, throughput and energy consumption with respect to varying network size using QUALNET.
VL  - 8
IS  - 1
ER  -

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