Elsevier

Ad Hoc Networks

Volume 4, Issue 6, November 2006, Pages 669-686
Ad Hoc Networks

Wireless underground sensor networks: Research challenges

https://doi.org/10.1016/j.adhoc.2006.04.003Get rights and content

Abstract

This work introduces the concept of a Wireless Underground Sensor Network (WUSN). WUSNs can be used to monitor a variety of conditions, such as soil properties for agricultural applications and toxic substances for environmental monitoring. Unlike existing methods of monitoring underground conditions, which rely on buried sensors connected via wire to the surface, WUSN devices are deployed completely belowground and do not require any wired connections. Each device contains all necessary sensors, memory, a processor, a radio, an antenna, and a power source. This makes their deployment much simpler than existing underground sensing solutions. Wireless communication within a dense substance such as soil or rock is, however, significantly more challenging than through air. This factor, combined with the necessity to conserve energy due to the difficulty of unearthing and recharging WUSN devices, requires that communication protocols be redesigned to be as efficient as possible. This work provides an extensive overview of applications and design challenges for WUSNs, challenges for the underground communication channel including methods for predicting path losses in an underground link, and challenges at each layer of the communication protocol stack.

Introduction

Sensor networks are currently a very active area of research. The richness of existing and potential applications from commercial agriculture and geology to security and navigation has stimulated significant attention to their capabilities for monitoring various underground conditions. In particular, agriculture uses underground sensors to monitor soil conditions such as water and mineral content [1]. Sensors are also successfully used to monitor the integrity of belowground infrastructures such as plumbing [32], and landslide and earthquake monitoring are accomplished using buried seismometers [13].

The current technology for underground sensing consists of deploying a buried sensor, such as that shown in Fig. 1, and wiring it to a data-logger on the surface which stores sensor readings for later retrieval. Dataloggers (see Fig. 2), may be equipped with a device for wired or single-hop wireless back-haul to a centralized sink, but often data is manually retrieved by physically visiting the datalogger [4]. All of these existing solutions require sensor devices to be deployed at the surface and wired to a buried sensor [20]. While the usefulness of these applications of sensor network technology is clear, there remain shortcomings that can impede new and more varied uses. These shortcomings include: visibility (versus concealment), ease of deployment, timeliness of the data, reliability, and potential for coverage density.

This paper departs from current technology and introduces the concept of Wireless Underground Sensor Networks (WUSNs), where the majority of sensor devices, including their means of transmitting and receiving, are deployed completely below the ground. WUSNs can address the cited shortcomings of current existing underground sensor networks in the following ways:

  • Concealment – Current underground sensing systems require dataloggers or motes deployed at the surface with wiring leading to underground sensors [5], [20] in order to avoid the challenge of wireless communication in the underground. The aboveground components of the sensing system are vulnerable to agricultural and landscaping equipment such as lawnmowers and tractors, which can cause damage to devices. Visible devices may also be unacceptable for performance or aesthetic reasons when monitoring sports fields or gardens. WUSNs, on the other hand, place all equipment required for sensing and transmitting underground, where it is out of sight, protected from damage by surface equipment and secure from theft or vandalism.

  • Ease of deployment – Expansion of the coverage area of existing underground sensing systems requires deployment of additional dataloggers and underground wiring. Even if terrestrial WSN technology is used for underground monitoring as in [20], underground wiring must still be deployed to connect a sensor to a surface device. Additional sensors in a WUSN can be deployed simply by placing them in the desired location and ensuring that they are within communication range of another device.

  • Timeliness of data – Dataloggers often store sensor readings for later retrieval. WUSNs are able to wirelessly forward sensor readings to a central sink in real time.

  • Reliability – A datalogger may have tens of sensors connected to it and represents a single point of failure for all of them. Since the sensors of a single datalogger may be spread over a large physical area, a failure of a datalogger could be catastrophic to a sensing application. WUSNs, however, give each sensor the ability to independently forward readings, eliminating the need for a datalogger as well as the wire that must be buried between a datalogger and a sensor. Additionally, WUSNs are self-healing. Device failures can be automatically routed around, and the network operator can be alerted to device failure in real time.

  • Coverage density – Sensors in existing underground applications are typically deployed close to their controlling datalogger to minimize the distance between them. Coverage density can therefore be uneven – high in the vicinity of the datalogger, but low elsewhere in the environment. WUSNs allow sensors to be deployed independent of the location of a datalogger.

While the benefits of WUSNs should be clear from the above, there are a number of research challenges that must be addressed to make them feasible. WUSNs may appear to be similar to their terrestrial counterparts, but the underground environment is a hostile place for wireless communication and requires that existing architectures for terrestrial WSNs, including hardware and communication protocols, be reexamined.

The remainder of the paper is organized as follows. In Section 2 we provide an overview of potential applications for WUSNs. Section 3 describes several factors that are important to consider in the design of WUSNs and proposes possible network topologies. In Section 4, we present an overview of the underground channel and the associated challenges. Section 5 examines the communication architecture of WUSNs and explains the challenges existing at each layer of the protocol stack. We conclude the paper in Section 6.

Section snippets

Applications

We classify current and potential underground applications into four categories: environmental monitoring, infrastructure monitoring, location determination, and border patrol and security monitoring.

WUSN design challenges

WUSNs are an exciting research area because of the unique nature of the underground environment. From a severely impaired underground channel to practical considerations such as the size of a device’s antenna, the underground forces us to rethink terrestrial WSN paradigms. In this section, we describe four considerations for WUSN design necessitated by this unique environment: power conservation, topology design, antenna design, and environmental extremes.

Underground wireless channel

The underground wireless channel is one of the main factors that make realizing WUSNs a challenge. Although digital communication in the underground appears to be unexplored, EM wave propagation through soil and rock has been studied extensively for ground-penetrating radar [8], [18], [36], [37] in the past.

In this section, we describe properties of the underground EM channel, the effect of various soil properties on this channel, and methods for predicting path losses in an underground

Communication architecture

This section addresses the protocol stack of WUSNs. Fig. 9 illustrates the classical layered protocol stack and its five layers, as well as the cross-layered power management and task management planes. The unique challenges of the underground environment cannot, however, be addressed in terrestrial WSN protocols. Therefore, it is necessary to reexamine and modify each of the layers to assure that WUSNs operate as efficiently and reliably as possible. In addition, there are many opportunities

Conclusion

We introduced the concept of WUSNs in which sensor devices are deployed completely below ground. There are existing applications of underground sensing, such as soil monitoring for agriculture. We demonstrated the benefits of WUSNs over current sensing solutions including: complete network concealment, ease of deployment, and improved timeliness of data. These benefits enable a new and wider range of underground sensing applications,from sports field and garden monitoring, where surface sensors

Acknowledgements

The authors would like to thank Dr. Ozgur B. Akan, Dr. Eylem Ekici, Dr. Tommaso Melodia, Dr. Dario Pompili, and Mehmet C. Vuran for their valuable comments.

Ian F. Akyildiz received the B.S., M.S., and Ph.D. degrees in Computer Engineering from the University of Erlangen-Nuernberg, Germany, in 1978, 1981 and 1984, respectively. Currently, he is the Ken Byers Distinguished Chair Professor with the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, and Director of the Broadband and Wireless Networking Laboratory.

He has held visiting professorships at the Universidad Tecnica Federico Santa Maria, Chile, Universite

References (39)

  • K. Akkaya et al.

    A survey on routing protocols for wireless sensor networks

    Ad Hoc Networks (Elsevier)

    (2005)
  • S. Roundy et al.

    A study of low level vibrations as a power source for wireless sensor nodes

    Computer Communications

    (2003)
  • Advanced Aeration Systems, Inc. Rz-aer tech sheet. Available from:...
  • J. Burrell et al.

    Vineyard computing: sensor networks in agricultural production

    IEEE Pervasive Computing

    (2004)
  • Campbell Scientific, Inc. Available from:...
  • R. Cardell-Oliver et al.

    A reactive soil moisture sensor network: design and field evaluation

    International Journal of Distributed Sensor Networks

    (2005)
  • S. Cheekiralla, Development of a wireless sensor unit for tunnel monitoring, Master’s thesis, Massachusetts Institute...
  • G.E. Rolader, J. Rogers, J. Batteh, Self-healing minefield, in: Proceedings of the SPIE – The International Society for...
  • D. Daniels, Surface-Penetrating Radar, IEE, August...
  • T. Dubaniewicz, J. Chilton, H. Dobroski, Fiber optics for atmospheric mine monitoring, in: Industry Applications...
  • C. Evans-Pughe

    Close encounters of the magnetic kind [near field communications]

    IEE Review

    (2005)
  • G. Howe

    On the transmission of electromagnetic waves through and around the earth

    The Electrician

    (1926)
  • K. Ikrath et al.

    Communications via seismic waves employing 80-Hz resonant seismic transducers

    IEEE Transactions on Communications

    (1968)
  • K. Imanishi et al.

    Earthquake source parameters determined by the safod pilot hole seismic array

    Geophysical Research Letters

    (2004)
  • X. Jiang, J. Polastre, D. Culler, Perpetual environmentally powered sensor networks, in: Fourth International Symposium...
  • R.W.P. King et al.

    Antennas in Matter: Fundamentals, Theory, and Applications

    (1981)
  • K. Kredo, P. Mohapatra, Medium access control in wireless sensor networks, Computer Networks (Elsevier), in...
  • K. Martinez, R. Ong, J. Hart, Glacsweb: a sensor network for hostile environments, in: IEEE SECON 2004, 2004, pp....
  • T.W. Miller, B. Borchers, J.M. Hendrickx, S. Hong, L.W. Dekker, C.J. Ritsema, Effects of soil physical properties on...
  • Cited by (590)

    View all citing articles on Scopus

    Ian F. Akyildiz received the B.S., M.S., and Ph.D. degrees in Computer Engineering from the University of Erlangen-Nuernberg, Germany, in 1978, 1981 and 1984, respectively. Currently, he is the Ken Byers Distinguished Chair Professor with the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, and Director of the Broadband and Wireless Networking Laboratory.

    He has held visiting professorships at the Universidad Tecnica Federico Santa Maria, Chile, Universite Pierre et Marie Curie (Paris VI), Ecole Nationale Superieure Telecommunications in Paris, France, Universidad Politecnico de Cataluna in Barcelona, Spain, and Universidad Illes Baleares, Palma de Mallorca, Spain.

    He is the Editor-in-Chief of Computer Networks as well as the founding Editor-in-Chief of Ad Hoc Networks. He is a past editor for IEEE/ACM Transactions on Networking (1996–2001), Kluwer Journal of Cluster Computing (1997–2001), ACM-Springer Journal for Multimedia Systems (1995–2002), IEEE Transactions on Computers (1992–1996), and ACM-Springer Journal of Wireless Networks (WINET) (1995–2005).

    He received the “Don Federico Santa Maria Medal” for his services to the Universidad de Federico Santa Maria, in 1986. From 1989 to 1998, he served as a National Lecturer for ACM and received the ACM Outstanding Distinguished Lecturer Award in 1994. He received the 1997 IEEE Leonard G. Abraham Prize Award (IEEE Communications Society) for his paper entitled “Multimedia Group Synchronization Protocols for Integrated Services Architectures” published in the IEEE Journal of Selected Areas in Communications (JSAC) in January 1996. He received the 2002 IEEE Harry M. Goode Memorial Award (IEEE Computer Society) with the citation “for significant and pioneering contributions to advanced architectures and protocols for wireless and satellite networking”. He received the 2003 IEEE Best Tutorial Award (IEEE Communication Society) for his paper entitled “A Survey on Sensor Networks,” published in IEEE Communications Magazine, in August 2002. He also received the 2003 ACM Sigmobile Outstanding Contribution Award with the citation “for pioneering contributions in the area of mobility and resource management for wireless communication networks”. He has been a Fellow of the Association for Computing Machinery (ACM) since 1996.

    His current research interests include wireless sensor networks, wireless mesh networks, and dynamic spectrum access/xG/cognitive radio networks.

    Erich P. Stuntebeck received the B.S. in Computer Engineering, Cum Laude, and the M.B.A. from the University of Notre Dame, Notre Dame, Indiana, in 2004. He then joined the Broadband and Wireless Networking Laboratory at the Georgia Institute of Technology, Atlanta, Georgia. He received the M.S. in Electrical and Computer Engineering in 2006, and is currently pursuing his Ph.D. and working as a research assistant. His research interests include wireless ad hoc and sensor networks as well as wireless mesh networks.

    View full text