Partitioned network with Adaptive Mobile Sinks

Hasina Rahman; Nazim Uddin Sheikh; Hamed Saleh Al-Qahtani; Tapan Kumar Hazra

doi:10.1109/IEMCON.2019.8936226

Partitioned network with Adaptive Mobile Sinks

Hasina Rahman, Nazim Uddin Sheikh, Hamed Saleh Al-Qahtani, Tapan Kumar Hazra

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

1 Citation (Scopus)

Abstract

Mobile Wireless Sensor Network (WSN) enables substantial elevation in network lifetime besides a better network coverage. Our work proposes an algorithm based on sink mobility in a Wireless Sensor Network. The network is partitioned into several clusters and each of the cluster areas has an allocated sink that can move across the network to accumulate the occurrences of a myriad of events for further delineation. We have thus considered event-driven mobile sinks in the network that can collect and analyze data from the sensors monitoring the network. The simulation result shows energy consumption is considerably reduced throughout the network using our proposed algorithm.

Original language	English
Title of host publication	2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2019
Editors	Satyajit Chakrabarti, Himadri Nath Saha
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1098-1103
Number of pages	6
ISBN (Electronic)	9781728125305
DOIs	https://doi.org/10.1109/IEMCON.2019.8936226
Publication status	Published - 2019
Event	10th IEEE Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2019 - Vancouver, Canada Duration: 17 Oct 2019 → 19 Oct 2019

Conference

Conference	10th IEEE Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2019
Country/Territory	Canada
City	Vancouver
Period	17/10/19 → 19/10/19

Keywords

energy consumption
multi-partitioned network
multi-sink network
sensor nodes
sink

Access to Document

10.1109/IEMCON.2019.8936226

Cite this

Rahman, H., Sheikh, N. U., Saleh Al-Qahtani, H., & Hazra, T. K. (2019). Partitioned network with Adaptive Mobile Sinks. In S. Chakrabarti, & H. N. Saha (Eds.), 2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2019 (pp. 1098-1103). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IEMCON.2019.8936226

Rahman, Hasina ; Sheikh, Nazim Uddin ; Saleh Al-Qahtani, Hamed et al. / Partitioned network with Adaptive Mobile Sinks. 2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2019. editor / Satyajit Chakrabarti ; Himadri Nath Saha. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2019. pp. 1098-1103

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title = "Partitioned network with Adaptive Mobile Sinks",

abstract = "Mobile Wireless Sensor Network (WSN) enables substantial elevation in network lifetime besides a better network coverage. Our work proposes an algorithm based on sink mobility in a Wireless Sensor Network. The network is partitioned into several clusters and each of the cluster areas has an allocated sink that can move across the network to accumulate the occurrences of a myriad of events for further delineation. We have thus considered event-driven mobile sinks in the network that can collect and analyze data from the sensors monitoring the network. The simulation result shows energy consumption is considerably reduced throughout the network using our proposed algorithm.",

keywords = "energy consumption, multi-partitioned network, multi-sink network, sensor nodes, sink",

author = "Hasina Rahman and Sheikh, {Nazim Uddin} and {Saleh Al-Qahtani}, Hamed and Hazra, {Tapan Kumar}",

year = "2019",

doi = "10.1109/IEMCON.2019.8936226",

language = "English",

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editor = "Satyajit Chakrabarti and Saha, {Himadri Nath}",

booktitle = "2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2019",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "10th IEEE Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2019 ; Conference date: 17-10-2019 Through 19-10-2019",

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Rahman, H, Sheikh, NU, Saleh Al-Qahtani, H & Hazra, TK 2019, Partitioned network with Adaptive Mobile Sinks. in S Chakrabarti & HN Saha (eds), 2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2019. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1098-1103, 10th IEEE Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2019, Vancouver, Canada, 17/10/19. https://doi.org/10.1109/IEMCON.2019.8936226

Partitioned network with Adaptive Mobile Sinks. / Rahman, Hasina; Sheikh, Nazim Uddin; Saleh Al-Qahtani, Hamed et al.

2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2019. ed. / Satyajit Chakrabarti; Himadri Nath Saha. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2019. p. 1098-1103.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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N2 - Mobile Wireless Sensor Network (WSN) enables substantial elevation in network lifetime besides a better network coverage. Our work proposes an algorithm based on sink mobility in a Wireless Sensor Network. The network is partitioned into several clusters and each of the cluster areas has an allocated sink that can move across the network to accumulate the occurrences of a myriad of events for further delineation. We have thus considered event-driven mobile sinks in the network that can collect and analyze data from the sensors monitoring the network. The simulation result shows energy consumption is considerably reduced throughout the network using our proposed algorithm.

AB - Mobile Wireless Sensor Network (WSN) enables substantial elevation in network lifetime besides a better network coverage. Our work proposes an algorithm based on sink mobility in a Wireless Sensor Network. The network is partitioned into several clusters and each of the cluster areas has an allocated sink that can move across the network to accumulate the occurrences of a myriad of events for further delineation. We have thus considered event-driven mobile sinks in the network that can collect and analyze data from the sensors monitoring the network. The simulation result shows energy consumption is considerably reduced throughout the network using our proposed algorithm.

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Rahman H, Sheikh NU, Saleh Al-Qahtani H, Hazra TK. Partitioned network with Adaptive Mobile Sinks. In Chakrabarti S, Saha HN, editors, 2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2019. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2019. p. 1098-1103 https://doi.org/10.1109/IEMCON.2019.8936226

Partitioned network with Adaptive Mobile Sinks

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