A survey on bio-inspired networking

被引:196
|
作者
Dressler, Falko [1 ]
Akan, Ozgur B. [2 ]
机构
[1] Univ Erlangen Nurnberg, Dept Comp Sci, D-91058 Erlangen, Germany
[2] Middle E Tech Univ, Dept Elect & Elect Engn, TR-06531 Ankara, Turkey
关键词
Bio-inspired networking; Nanonetworks; Swarm intelligence; Activator-inhibitor systems; Molecular communication; AD HOC; SELF-ORGANIZATION; IMMUNE-SYSTEM; COMMUNICATION; SYNCHRONIZATION; ARCHITECTURE;
D O I
10.1016/j.comnet.2009.10.024
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The developments in the communication and networking technologies have yielded many existing and envisioned information network architectures such as cognitive radio networks, sensor and actor networks, quantum communication networks, terrestrial next generation Internet, and InterPlaNetary Internet. However, there exist many common significant challenges to be addressed for the practical realization of these current and envisioned networking paradigms such as the increased complexity with large scale networks, their dynamic nature, resource constraints, heterogeneous architectures, absence or impracticality of centralized control and infrastructure, need for survivability, and unattended resolution of potential failures. These challenges have been successfully dealt with by Nature, which, as a result of millions of years of evolution, have yielded many biological systems and processes with intrinsic appealing characteristics such as adaptivity to varying environmental conditions, inherent resiliency to failures and damages, successful and collaborative operation on the basis of a limited set of rules and with global intelligence which is larger than superposition of individuals, self-organization, survivability, and evolvability. Inspired by these characteristics, many researchers are currently engaged in developing innovative design paradigms to address the networking challenges of existing and envisioned information systems. In this paper, the current state-of-the-art in bio-inspired networking is captured. The existing bio-inspired networking and communication protocols and algorithms devised by looking at biology as a source of inspiration, and by mimicking the laws and dynamics governing these systems are presented along with open research issues for the bio-inspired networking. Furthermore, the domain of bio-inspired networking is linked to the emerging research domain of nanonetworks, which bring a set of unique challenges. The objective of this survey is to provide better understanding of the potentials for bio-inspired networking which is currently far from being fully recognized, and to motivate the research community to further explore this timely and exciting topic. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:881 / 900
页数:20
相关论文
共 50 条
  • [11] Development of an underwater networking system using bio-inspired electrocommunication
    Zhang, Han
    Wang, Wei
    Wang, Qinghao
    Wang, Chen
    Xie, Guangming
    BIOINSPIRATION & BIOMIMETICS, 2022, 17 (06)
  • [12] Bio-inspired
    Tegler, Jan
    AEROSPACE AMERICA, 2021, 59 (02) : 20 - 29
  • [13] A Bio-inspired Framework to Mitigate DoS Attacks in Software Defined Networking
    Rathore, Heena
    Samant, Abhay
    Guizani, Mohsen
    2019 10TH IFIP INTERNATIONAL CONFERENCE ON NEW TECHNOLOGIES, MOBILITY AND SECURITY (NTMS), 2019,
  • [14] Bio-Inspired Algorithm for QoS Optimization in Information-Centric Networking
    Safitri, Cutifa
    Yamada, Yoshihide
    Goudarzi, Shidrokh
    Mantoro, Teddy
    Ayu, Media Anugerah
    2019 5TH INTERNATIONAL CONFERENCE ON COMPUTING, ENGINEERING, AND DESIGN (ICCED), 2019,
  • [15] A Brief Survey on Bio-inspired Algorithms for Autonomous Landing
    Maitra, Amritesh
    Prasath, Sri Ram
    Padhi, Radhakant
    IFAC PAPERSONLINE, 2016, 49 (01): : 407 - 412
  • [16] Survey and Introduction to the Focused Section on Bio-Inspired Mechatronics
    Sitti, Metin
    Menciassi, Arianna
    Ijspeert, Auke Jan
    Low, Kin Huat
    Kim, Sangbae
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2013, 18 (02) : 409 - 418
  • [17] ADHESION TECHNOLOGIES OF BIO-INSPIRED CLIMBING ROBOTS: A SURVEY
    Chattopadhyay, Priyabrata
    Ghoshal, Sanjoy K.
    INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION, 2018, 33 (06): : 654 - 661
  • [18] A Survey of Diverse Nature Bio-Inspired Computing Models
    Kotteeswaran, C.
    Rajesh, A.
    SECOND INTERNATIONAL CONFERENCE ON CURRENT TRENDS IN ENGINEERING AND TECHNOLOGY (ICCTET 2014), 2014, : 120 - 124
  • [19] A survey of bio-inspired compliant legged robot designs
    Zhou, Xiaodong
    Bi, Shusheng
    BIOINSPIRATION & BIOMIMETICS, 2012, 7 (04)
  • [20] Bio-inspired Bio-inspired computer vision based on neural networks
    Antón-Rodríguez M.
    González-Ortega D.
    Díaz-Pernas F.J.
    Martínez-Zarzuela M.
    de la Torre-Díez I.
    Boto-Giralda D.
    Díez-Higuera J.F.
    Pattern Recognition and Image Analysis, 2011, 21 (2) : 108 - 112