IEICE TRANSACTIONS on Information
Cognition-Based Delay Analysis to Determine the Average Minimum Time Limit for Wireless Sensor Communications
Summary :
End-to-end delay, aiming to realize how much time it will take for a traffic load generated by a Mobile Node (MN) to reach Sink Node (SN), is a principal objective of most new trends in a Wireless Sensor Network (WSN). It has a direct link towards understanding the minimum time delay expected where the packet sent by MN can take to be received by SN. Most importantly, knowing the average minimum transmission time limit is a crucial piece of information in determining the future output of the network and the kind of technologies implemented. In this paper, we take network load and transmission delay issues into account in estimating the Average Minimum Time Limit (AMTL) needed for a health operating cognitive WSN. To further estimate the AMTL based on network load, an end-to-end delay analysis mechanism is presented and considers the total delay (service, queue, ACK, and MAC). This work is proposed to answer the AMTL needed before implementing any cognitive based WSN algorithms. Various time intervals and cogitative channel usage with different application payload are used for the result analysis. Through extensive simulations, our mechanism is able to identify the average time intervals needed depending on the load and MN broadcast interval in any cognitive WSN.
- Publication
- IEICE TRANSACTIONS on Information Vol.E103-D No.4 pp.789-795
- Publication Date
- 2020/04/01
- Publicized
- 2019/12/26
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2019IIK0001
- Type of Manuscript
- Special Section PAPER (Special Section on Intelligent Information and Communication Technology and its Applications to Creative Activity Support)
- Category
Authors
Kedir MAMO BESHER
Universidad de Colima
Juan-Ivan NIETO-HIPÓLITO
Universidad de Colima
Juan de Dios SÁNCHEZ LÓPEZ
Universidad de Colima
Mabel VAZQUEZ-BRISENO
Universidad de Colima
Raymundo BUENROSTRO MARISCAL
Universidad de Colima
Keyword
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Kedir MAMO BESHER, Juan-Ivan NIETO-HIPÓLITO, Juan de Dios SÁNCHEZ LÓPEZ, Mabel VAZQUEZ-BRISENO, Raymundo BUENROSTRO MARISCAL, "Cognition-Based Delay Analysis to Determine the Average Minimum Time Limit for Wireless Sensor Communications" in IEICE TRANSACTIONS on Information,
vol. E103-D, no. 4, pp. 789-795, April 2020, doi: 10.1587/transinf.2019IIK0001.
Abstract: End-to-end delay, aiming to realize how much time it will take for a traffic load generated by a Mobile Node (MN) to reach Sink Node (SN), is a principal objective of most new trends in a Wireless Sensor Network (WSN). It has a direct link towards understanding the minimum time delay expected where the packet sent by MN can take to be received by SN. Most importantly, knowing the average minimum transmission time limit is a crucial piece of information in determining the future output of the network and the kind of technologies implemented. In this paper, we take network load and transmission delay issues into account in estimating the Average Minimum Time Limit (AMTL) needed for a health operating cognitive WSN. To further estimate the AMTL based on network load, an end-to-end delay analysis mechanism is presented and considers the total delay (service, queue, ACK, and MAC). This work is proposed to answer the AMTL needed before implementing any cognitive based WSN algorithms. Various time intervals and cogitative channel usage with different application payload are used for the result analysis. Through extensive simulations, our mechanism is able to identify the average time intervals needed depending on the load and MN broadcast interval in any cognitive WSN.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2019IIK0001/_p
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@ARTICLE{e103-d_4_789,
author={Kedir MAMO BESHER, Juan-Ivan NIETO-HIPÓLITO, Juan de Dios SÁNCHEZ LÓPEZ, Mabel VAZQUEZ-BRISENO, Raymundo BUENROSTRO MARISCAL, },
journal={IEICE TRANSACTIONS on Information},
title={Cognition-Based Delay Analysis to Determine the Average Minimum Time Limit for Wireless Sensor Communications},
year={2020},
volume={E103-D},
number={4},
pages={789-795},
abstract={End-to-end delay, aiming to realize how much time it will take for a traffic load generated by a Mobile Node (MN) to reach Sink Node (SN), is a principal objective of most new trends in a Wireless Sensor Network (WSN). It has a direct link towards understanding the minimum time delay expected where the packet sent by MN can take to be received by SN. Most importantly, knowing the average minimum transmission time limit is a crucial piece of information in determining the future output of the network and the kind of technologies implemented. In this paper, we take network load and transmission delay issues into account in estimating the Average Minimum Time Limit (AMTL) needed for a health operating cognitive WSN. To further estimate the AMTL based on network load, an end-to-end delay analysis mechanism is presented and considers the total delay (service, queue, ACK, and MAC). This work is proposed to answer the AMTL needed before implementing any cognitive based WSN algorithms. Various time intervals and cogitative channel usage with different application payload are used for the result analysis. Through extensive simulations, our mechanism is able to identify the average time intervals needed depending on the load and MN broadcast interval in any cognitive WSN.},
keywords={},
doi={10.1587/transinf.2019IIK0001},
ISSN={1745-1361},
month={April},}
Copy
TY - JOUR
TI - Cognition-Based Delay Analysis to Determine the Average Minimum Time Limit for Wireless Sensor Communications
T2 - IEICE TRANSACTIONS on Information
SP - 789
EP - 795
AU - Kedir MAMO BESHER
AU - Juan-Ivan NIETO-HIPÓLITO
AU - Juan de Dios SÁNCHEZ LÓPEZ
AU - Mabel VAZQUEZ-BRISENO
AU - Raymundo BUENROSTRO MARISCAL
PY - 2020
DO - 10.1587/transinf.2019IIK0001
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E103-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2020
AB - End-to-end delay, aiming to realize how much time it will take for a traffic load generated by a Mobile Node (MN) to reach Sink Node (SN), is a principal objective of most new trends in a Wireless Sensor Network (WSN). It has a direct link towards understanding the minimum time delay expected where the packet sent by MN can take to be received by SN. Most importantly, knowing the average minimum transmission time limit is a crucial piece of information in determining the future output of the network and the kind of technologies implemented. In this paper, we take network load and transmission delay issues into account in estimating the Average Minimum Time Limit (AMTL) needed for a health operating cognitive WSN. To further estimate the AMTL based on network load, an end-to-end delay analysis mechanism is presented and considers the total delay (service, queue, ACK, and MAC). This work is proposed to answer the AMTL needed before implementing any cognitive based WSN algorithms. Various time intervals and cogitative channel usage with different application payload are used for the result analysis. Through extensive simulations, our mechanism is able to identify the average time intervals needed depending on the load and MN broadcast interval in any cognitive WSN.
ER -
English
