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Predictive Retransmissions for Intermittently Connected Sensor Networks with Transmission Diversity

Authors:

MD. Majharul Islam Rajib,

Asis NasipuriAuthors Info & Claims

ACM Transactions on Embedded Computing Systems (TECS), Volume 17, Issue 1

Article No.: 12, Pages 1 - 25

https://doi.org/10.1145/3092947

Published: 20 September 2017 Publication History

Abstract

Batteryless wireless sensor networks that rely on energy harvested from the environment often exhibit random power outages due to limitations of energy resources, which give rise to intermittent connectivity and long transmission delays. To improve the delay performance in such networks, we consider a design strategy that uses predictive retransmissions to maximize the probability of success for each transmission. This is applied to two different transmission diversity schemes: cooperative relaying over unicast routes and opportunistic routing. Performance evaluations from theoretical models and simulations are presented that show that significant gains can be achieved using the proposed approach in such networks.

References

[1]

Anish Arora, Prabal Dutta, Sandip Bapat, Vinod Kulathumani, Hongwei Zhang, Vinayak Naik, Vineet Mittal, Hui Cao, Murat Demirbas, Mohamed Gouda, Youngri Choi, Ted Herman, Sandeep Kulkarni, Mahesh Arumugam, Mikhail Nesterenko, Adnan Vora, and M. Miyashita. 2004. A line in the sand: A wireless sensor network for target detection, classification, and tracking. Computer Networks 46, 5 (2004), 605--634.

Digital Library

[2]

Majid Bahrepour, Nirvana Meratnia, Mannes Poel, Zahra Taghikhaki, and Paul J. M. Havinga. 2010. Distributed event detection in wireless sensor networks for disaster management. In 2nd  International Conference on Intelligent Networking and Collaborative Systems (INCOS’10). IEEE, 507--512.

Digital Library

[3]

Eloi Garrido Barrabes. 2016. Opportunistic Routing for Indoor Energy Harvesting Wireless Sensor Networks. Master’s thesis. Delft University of Technology, the Netherlands.

[4]

Haiming Chen, Li Cui, and Victor O. K. Li. 2009. A joint design of opportunistic forwarding and energy-efficient mac protocol in wireless sensor networks. In Global Telecommunications Conference. IEEE, 1--6.

Digital Library

[5]

Jean-Marie Dilhac and Marise Bafleur. 2014. Energy harvesting in aeronautics for battery-free wireless sensor networks. IEEE Aerospace and Electronic Systems Magazine 29, 8 (2014), 18--22.

[6]

Zhi Ang Eu, Hwee-Pink Tan, and Winston K. G. Seah. 2010. Opportunistic routing in wireless sensor networks powered by ambient energy harvesting. Computer Networks 54, 17 (2010), 2943--2966.

Digital Library

[7]

Xenofon Fafoutis, Alessio Di Mauro, Charalampos Orfanidis, and Nicola Dragoni. 2015. Energy-efficient medium access control for energy harvesting communications. IEEE Transactions on Consumer Electronics 61, 4 (2015), 402--410.

Digital Library

[8]

Xiaofan Jiang, Joseph Polastre, and David Culler. 2005. Perpetual environmentally powered sensor networks. In 4th International Symposium on Information Processing in Sensor Networks, 2005 (IPSN’05). IEEE, 463--468.

Digital Library

[9]

Olaf Landsiedel, Euhanna Ghadimi, Simon Duquennoy, and Mikael Johansson. 2012. Low power, low delay: Opportunistic routing meets duty cycling. In 11th International Conference on Information Processing in Sensor Networks (IPSN’12). IEEE, 185--196.

Digital Library

[10]

Ying Li and Radim Bartos. 2014. A survey of protocols for intermittently connected delay-tolerant wireless sensor networks. Journal of Network and Computer Applications 41 (2014), 411--423.

[11]

Sha Liu, Kai-Wei Fan, and Prasun Sinha. 2009. CMAC: An energy-efficient MAC layer protocol using convergent packet forwarding for wireless sensor networks. ACM Transactions on Sensor Networks (TOSN) 5, 4 (2009), 29.

Digital Library

[12]

Masateru Minami, Takashi Morito, Hiroyuki Morikawa, and Tomonori Aoyama. 2005. Solar biscuit: A battery-less wireless sensor network system for environmental monitoring applications. In The 2nd International Workshop on Networked Sensing Systems.

[13]

David Moss, Jonathan Hui, and Kevin Klues. 2007. Low power listening. TinyOS Core Working Group, TEP 105 (2007).

[14]

Dimosthenis Pediaditakis, Yuri Tselishchev, and Athanassios Boulis. 2010. Performance and scalability evaluation of the Castalia wireless sensor network simulator. In Proceedings of the 3rd International ICST Conference on Simulation Tools and Techniques. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), 53.

Digital Library

[15]

Michael Peigney and Dominique Siegert. 2013. Piezoelectric energy harvesting from traffic-induced bridge vibrations. Smart Materials and Structures 22, 9 (2013), 095019.

[16]

Md. Majharul Islam Rajib and Asis Nasipuri. 2015. Delay performance of intermittently connected wireless sensor networks with cooperative relays. In International Conference on Communication Workshop (ICCW’15). IEEE, 1994--1999.

[17]

Hossein Shafieirad, Raviraj S. Adve, and Shahram ShahbazPanahi. 2016. Large scale energy harvesting sensor networks with applications in smart cities. In Smart City 360. Springer, 215--226.

[18]

Faisal Karim Shaikh and Sherali Zeadally. 2016. Energy harvesting in wireless sensor networks: A comprehensive review. Renewable and Sustainable Energy Reviews 55 (2016), 1041--1054.

[19]

William J. Stewart. 2009. Probability, Markov Chains, Queues, and Simulation: The Mathematical Basis of Performance Modeling. Princeton University Press.

Digital Library

[20]

Sujesha Sudevalayam and Purushottam Kulkarni. 2011. Energy harvesting sensor nodes: Survey and implications. IEEE Communications Surveys and Tutorials 13, 3 (2011), 443--461.

[21]

Marco Tacca, Paolo Monti, and Andrea Fumagalli. 2007. Cooperative and reliable ARQ protocols for energy harvesting wireless sensor nodes. IEEE Transactions on Wireless Communications 6, 7 (2007), 2519--2529.

Digital Library

[22]

Kaya Tutuncuoglu and Aylin Yener. 2011. Short-term throughput maximization for battery limited energy harvesting nodes. In 2011 IEEE International Conference on Communications (ICC’11). IEEE, 1--5.

[23]

Masaya Yoshida, Tomoya Kitani, Masaki Bandai, Takashi Watanabe, Pai H. Chou, and Winston K. G. Seah. 2012. Probabilistic data collection protocols for energy harvesting wireless sensor networks. International Journal of Ad Hoc and Ubiquitous Computing 11, 2--3 (2012), 82--96.

Digital Library

Cited By

Liu GWang L(2024)Data on the Go: Seamless Data Routing for Intermittently-Powered Battery-Free SensingIEEE Transactions on Mobile Computing10.1109/TMC.2024.342963623:12(13406-13419)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1109/TMC.2024.3429636
Mallik AXie JHan Z(2024)A Performance Analysis Modeling Framework for Extended Reality Applications in Edge-Assisted Wireless Networks2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS)10.1109/ICDCS60910.2024.00073(726-737)Online publication date: 23-Jul-2024
https://doi.org/10.1109/ICDCS60910.2024.00073
Liu GWang L(2023)Routing for Intermittently-Powered Sensing Systems2023 IEEE International Performance, Computing, and Communications Conference (IPCCC)10.1109/IPCCC59175.2023.10253844(274-282)Online publication date: 17-Nov-2023
https://doi.org/10.1109/IPCCC59175.2023.10253844
Show More Cited By

Index Terms

Predictive Retransmissions for Intermittently Connected Sensor Networks with Transmission Diversity
1. Networks
  1. Network protocols
    1. Link-layer protocols
    2. Network layer protocols
      1. Routing protocols

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Information

Published In

cover image ACM Transactions on Embedded Computing Systems

ACM Transactions on Embedded Computing Systems Volume 17, Issue 1

Special Issue on Autonomous Battery-Free Sensing and Communication, Special Issue on ESWEEK 2016 and Regular Papers

January 2018

630 pages

ISSN:1539-9087

EISSN:1558-3465

DOI:10.1145/3136518

Editor:
Sandeep K. Shukla
Indian Institute of Technology, India

Issue’s Table of Contents

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Journal Family

ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 20 September 2017

Accepted: 01 April 2017

Revised: 01 April 2017

Received: 01 July 2016

Published in TECS Volume 17, Issue 1

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Cited By

Liu GWang L(2024)Data on the Go: Seamless Data Routing for Intermittently-Powered Battery-Free SensingIEEE Transactions on Mobile Computing10.1109/TMC.2024.342963623:12(13406-13419)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1109/TMC.2024.3429636
Mallik AXie JHan Z(2024)A Performance Analysis Modeling Framework for Extended Reality Applications in Edge-Assisted Wireless Networks2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS)10.1109/ICDCS60910.2024.00073(726-737)Online publication date: 23-Jul-2024
https://doi.org/10.1109/ICDCS60910.2024.00073
Liu GWang L(2023)Routing for Intermittently-Powered Sensing Systems2023 IEEE International Performance, Computing, and Communications Conference (IPCCC)10.1109/IPCCC59175.2023.10253844(274-282)Online publication date: 17-Nov-2023
https://doi.org/10.1109/IPCCC59175.2023.10253844
Ren QYao G(2022)An Opportunistic Routing for Energy-Harvesting Wireless Sensor Networks With Dynamic Transmission Power and Duty CycleIEEE Access10.1109/ACCESS.2022.322284310(121109-121119)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3222843
Sigrist LAhmed RGomez AThiele L(2020)Harvesting-Aware Optimal Communication Scheme for Infrastructure-Less SensingACM Transactions on Internet of Things10.1145/33959281:4(1-26)Online publication date: 19-Jun-2020
https://doi.org/10.1145/3395928
Wang WWang CYao X(2019)Slot Self-Allocation Based MAC Protocol for Energy Harvesting Nano-NetworksSensors10.3390/s1921464619:21(4646)Online publication date: 25-Oct-2019
https://doi.org/10.3390/s19214646

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