---
_id: '6425'
abstract:
- lang: eng
  text: "Recently, many efforts have been made to develop more efficient Inter-Vehicle
    Communication (IVC) protocols for on-demand route planning according to observed
    traffic congestion or incidents, as well as for safety applications. Because practical
    experiments are often not feasible, simulation of network protocol behavior in
    Vehicular Ad Hoc Network (VANET) scenarios is strongly demanded for evaluating
    the applicability of developed network protocols. In this work, we discuss the
    need for bidirectional coupling of network simulation and road traffic microsimulation
    for evaluating IVC protocols. As the selection of a mobility model influences
    the outcome of simulations to a great deal, the use of a representative model
    is necessary for producing meaningful evaluation results. Based on these observations,
    we developed the hybrid simulation framework Veins (Vehicles in Network Simulation),
    composed of the network simulator OMNeT++ and the road traffic simulator SUMO.
    In a proof-of-concept study, we demonstrate its advantages and the need for bidirectionally
    coupled simulation based on the evaluation of two protocols for incident warning
    over VANETs. With our developed methodology, we can advance the state-of-the-art
    in performance evaluation of IVC and provide means to evaluate developed protocols
    more accurately.\r\n"
author:
- first_name: Christoph
  full_name: Sommer, Christoph
  id: '49154'
  last_name: Sommer
  orcid: 0000-0002-4336-7350
- first_name: Reinhard
  full_name: German, Reinhard
  last_name: German
- first_name: Falko
  full_name: Dressler, Falko
  id: '48097'
  last_name: Dressler
  orcid: 0000-0002-1989-1750
citation:
  ama: Sommer C, German R, Dressler F. Bidirectionally Coupled Network and Road Traffic
    Simulation for Improved IVC Analysis. <i>IEEE Transactions on Mobile Computing</i>.
    2011;10(1):3-15. doi:<a href="https://doi.org/10.1109/TMC.2010.133">10.1109/TMC.2010.133</a>
  apa: Sommer, C., German, R., &#38; Dressler, F. (2011). Bidirectionally Coupled
    Network and Road Traffic Simulation for Improved IVC Analysis. <i>IEEE Transactions
    on Mobile Computing</i>, <i>10</i>(1), 3–15. <a href="https://doi.org/10.1109/TMC.2010.133">https://doi.org/10.1109/TMC.2010.133</a>
  bibtex: '@article{Sommer_German_Dressler_2011, title={Bidirectionally Coupled Network
    and Road Traffic Simulation for Improved IVC Analysis}, volume={10}, DOI={<a href="https://doi.org/10.1109/TMC.2010.133">10.1109/TMC.2010.133</a>},
    number={1}, journal={IEEE Transactions on Mobile Computing}, publisher={IEEE},
    author={Sommer, Christoph and German, Reinhard and Dressler, Falko}, year={2011},
    pages={3–15} }'
  chicago: 'Sommer, Christoph, Reinhard German, and Falko Dressler. “Bidirectionally
    Coupled Network and Road Traffic Simulation for Improved IVC Analysis.” <i>IEEE
    Transactions on Mobile Computing</i> 10, no. 1 (2011): 3–15. <a href="https://doi.org/10.1109/TMC.2010.133">https://doi.org/10.1109/TMC.2010.133</a>.'
  ieee: C. Sommer, R. German, and F. Dressler, “Bidirectionally Coupled Network and
    Road Traffic Simulation for Improved IVC Analysis,” <i>IEEE Transactions on Mobile
    Computing</i>, vol. 10, no. 1, pp. 3–15, 2011.
  mla: Sommer, Christoph, et al. “Bidirectionally Coupled Network and Road Traffic
    Simulation for Improved IVC Analysis.” <i>IEEE Transactions on Mobile Computing</i>,
    vol. 10, no. 1, IEEE, 2011, pp. 3–15, doi:<a href="https://doi.org/10.1109/TMC.2010.133">10.1109/TMC.2010.133</a>.
  short: C. Sommer, R. German, F. Dressler, IEEE Transactions on Mobile Computing
    10 (2011) 3–15.
date_created: 2018-12-30T10:54:47Z
date_updated: 2022-01-06T07:03:04Z
doi: 10.1109/TMC.2010.133
intvolume: '        10'
issue: '1'
language:
- iso: eng
page: 3-15
publication: IEEE Transactions on Mobile Computing
publisher: IEEE
status: public
title: Bidirectionally Coupled Network and Road Traffic Simulation for Improved IVC
  Analysis
type: journal_article
user_id: '49154'
volume: 10
year: '2011'
...
---
_id: '6429'
abstract:
- lang: eng
  text: "Self-organization is a rather fascinating concept that enables systems consisting
    of huge numbers of autonomously acting subsystems to perform a collective task.
    Moreover, self- organizing systems show an overall behavior that cannot easily
    be predicted or even preprogrammed in a scalable way. It was in the early 1960ies
    that people like Ashby and Eigen investigated self-organization properties in
    (natural) systems. Since these days, a great number of (technical) solutions have
    been developed, which, either on purpose or unintentionally, inherently the basic
    concepts of self-organization. The aim of this book is to investigate the concepts
    of self-organization in the context of autonomous sensor and actor networks. The
    primary objective is to categorize the basic self-organization methods and to
    survey techniques for communication and coordination in massively distributed
    systems according to the developed classification scheme. Basically, two possible
    approaches can be thought of for organizing this book. First, we could start analyzing
    sensor and actor network technology and figure out what basic mechanisms are employed
    and how these relate to self-organization. A second approach would be to introduce
    self-organization as a methodology, apparently used everywhere in our life (in
    nature and in technical systems), and afterwards to continue with technical issues
    in sensor and actor networks searching for previously learned self-organization
    methods. I decided to follow the second approach in order to keep the focus on
    self-organization while studying the term in the world of sensor and actor networks.
    The term self-organization is still often misunderstood and misinterpreted. Therefore,
    this textbook is intended to be a basis for a better understanding of the concepts
    of self-organization, especially in the domain of sensor and actor networks. It
    provides a stepwise introduction of definitions, methodologies, and corresponding
    techniques relevant in the context of self-organization. Recent advances in miniaturization
    and wireless communication enabled the development of low-cost sensor nodes. Additionally,
    new application domains of sensor and actor networks emerged that demand for huge
    numbers of interacting devices. Thus, the relevance of self-organization methods
    is rapidly increasing as it is considered the primary control paradigm for distributed
    and massively distributed systems. The reader will see that self-organization
    has a number of advantages compared to other control paradigms. So, it becomes
    possible to operate huge numbers of collaborating subsystems even in case of limited
    resources, unreliable communication, and in case of massive failures of single
    systems. Unfortunately, these advantages are accompanied by some rather annoying
    side effects such as the increasing complexity and a nondeterministic behavior.
    By using optimal combinations of the basic methods of self-organization, these
    disadvantages can be minimized to some extent. According to the objective of this
    textbook - to study sensor and actor networks - the most relevant domains of communication
    and coordination are deeply investigated based on well-known algorithms and mechanisms
    and a number of case studies. This includes networking aspects of medium access
    control, ad hoc routing, data-centric communication, and clustering techniques.
    Additionally, control mechanisms for cooperation, task and resource allocation,
    and collaborative actuation are investigated. The book is concluded by a brief
    introduction of the domain of bio-inspired algorithms. This study is included
    for two reasons. First, to demystify the term bio-inspired networking, and secondly,
    to show the capabilities of such bio-inspired approaches.\r\n"
author:
- first_name: Falko
  full_name: Dressler, Falko
  id: '48097'
  last_name: Dressler
  orcid: 0000-0002-1989-1750
citation:
  ama: Dressler F. <i>Self-Organization in Sensor and Actor Networks</i>. John Wiley
    &#38; Sons; 2007. doi:<a href="https://doi.org/10.1002/9780470724460">10.1002/9780470724460</a>
  apa: Dressler, F. (2007). <i>Self-Organization in Sensor and Actor Networks</i>.
    John Wiley &#38; Sons. <a href="https://doi.org/10.1002/9780470724460">https://doi.org/10.1002/9780470724460</a>
  bibtex: '@book{Dressler_2007, title={Self-Organization in Sensor and Actor Networks},
    DOI={<a href="https://doi.org/10.1002/9780470724460">10.1002/9780470724460</a>},
    publisher={John Wiley &#38; Sons}, author={Dressler, Falko}, year={2007} }'
  chicago: Dressler, Falko. <i>Self-Organization in Sensor and Actor Networks</i>.
    John Wiley &#38; Sons, 2007. <a href="https://doi.org/10.1002/9780470724460">https://doi.org/10.1002/9780470724460</a>.
  ieee: F. Dressler, <i>Self-Organization in Sensor and Actor Networks</i>. John Wiley
    &#38; Sons, 2007.
  mla: Dressler, Falko. <i>Self-Organization in Sensor and Actor Networks</i>. John
    Wiley &#38; Sons, 2007, doi:<a href="https://doi.org/10.1002/9780470724460">10.1002/9780470724460</a>.
  short: F. Dressler, Self-Organization in Sensor and Actor Networks, John Wiley &#38;
    Sons, 2007.
date_created: 2018-12-30T11:07:12Z
date_updated: 2022-01-06T07:03:04Z
doi: 10.1002/9780470724460
language:
- iso: eng
publication_identifier:
  isbn:
  - 978-0-470-02820-9
publisher: John Wiley & Sons
status: public
title: Self-Organization in Sensor and Actor Networks
type: book
user_id: '48097'
year: '2007'
...