Bio-Inspired Routing Algorithms Survey for Vehicular Ad Hoc Networks

Vehicular Ad hoc NETworks (VANETs) play a key role in the design and development of Intelligent Transportation Systems (ITS) that aim to improve road safety and transportation productivity. VANETs cover vehicle-to-vehicle and vehicle-to-roadside communications. One of the most important challenges of this type of network is the timely and reliable dissemination of messages among vehicular nodes that enable drivers to take appropriate decisions to improve road safety. In the past decade, many routing protocols for VANETs that can support reliability and safety requirements have been proposed. These protocols suffer from several limitations, including complexity, lack of scalability to large scale networks, routing overheads, etc. To address these limitations, various bio-inspired approaches have been proposed to route packets among vehicular nodes in an optimized manner. We survey recent proposed bio-inspired routing algorithms for the VANET environment. In particular, we identify the key features, strengths, and weaknesses of these algorithms and compare them by using various criteria. Moreover, we propose a unified formal model of the bio-inspired multimodular approaches applied to VANET routing. We highlight main future research directions in this area.

[1]  H. Berg,et al.  Chemotaxis in Escherichia coli analysed by Three-dimensional Tracking , 1972, Nature.

[2]  I︠a︡. Z. T︠S︡ypkin,et al.  Foundations of the theory of learning systems , 1973 .

[3]  E. H. Mamdani,et al.  Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis , 1976, IEEE Transactions on Computers.

[4]  C. Milstein,et al.  Mutation Drift and Repertoire Shift in the Maturation of the Immune Response , 1987, Immunological reviews.

[5]  U. Grenander,et al.  A stochastic nonlinear model for coordinated bird flocks , 1990 .

[6]  Alden H. Wright,et al.  Genetic Algorithms for Real Parameter Optimization , 1990, FOGA.

[7]  Zbigniew Michalewicz,et al.  Handling Constraints in Genetic Algorithms , 1991, ICGA.

[8]  Marco Dorigo,et al.  Optimization, Learning and Natural Algorithms , 1992 .

[9]  John R. Koza,et al.  Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.

[10]  Charles E. Perkins,et al.  Highly dynamic Destination-Sequenced Distance-Vector routing (DSDV) for mobile computers , 1994, SIGCOMM.

[11]  Dan Boneh,et al.  On genetic algorithms , 1995, COLT '95.

[12]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[13]  Marco Dorigo,et al.  Ant system: optimization by a colony of cooperating agents , 1996, IEEE Trans. Syst. Man Cybern. Part B.

[14]  Thomas Bäck,et al.  Evolutionary algorithms in theory and practice - evolution strategies, evolutionary programming, genetic algorithms , 1996 .

[15]  J. Gilger,et al.  Human Behavioral Genetics: Synthesis of Quantitative and Molecular Approaches , 1998 .

[16]  Charles E. Perkins,et al.  Multicast operation of the ad-hoc on-demand distance vector routing protocol , 1999, MobiCom.

[17]  Xiaoyan Hong,et al.  A group mobility model for ad hoc wireless networks , 1999, MSWiM '99.

[18]  John J. Hopfield,et al.  Neural networks and physical systems with emergent collective computational abilities , 1999 .

[19]  D S Callaway,et al.  Network robustness and fragility: percolation on random graphs. , 2000, Physical review letters.

[20]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[21]  Brad Karp,et al.  GPSR: greedy perimeter stateless routing for wireless networks , 2000, MobiCom '00.

[22]  J. A. Lozano,et al.  Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation , 2001 .

[23]  Alfred Menezes,et al.  The Elliptic Curve Digital Signature Algorithm (ECDSA) , 2001, International Journal of Information Security.

[24]  H. Abbass A single queen single worker honey–bees approach to 3-SAT , 2001 .

[25]  David A. Maltz,et al.  DSR: the dynamic source routing protocol for multihop wireless ad hoc networks , 2001 .

[26]  Pedro Larrañaga,et al.  Estimation of Distribution Algorithms , 2002, Genetic Algorithms and Evolutionary Computation.

[27]  Goldberg,et al.  Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.

[28]  Pablo A. Iglesias,et al.  Quantifying robustness of biochemical network models , 2002, BMC Bioinformatics.

[29]  Alexander O. Tarakanov,et al.  Signal Processing by an Immune Type Tree Transform , 2003, ICARIS.

[30]  Charles E. Perkins,et al.  Ad hoc On-Demand Distance Vector (AODV) Routing , 2001, RFC.

[31]  Léon Bottou,et al.  Stochastic Learning , 2003, Advanced Lectures on Machine Learning.

[32]  Karim Faez,et al.  GA-Based Heuristic Algorithms for QoS Based Multicast Routing , 2003, Knowl. Based Syst..

[33]  Ahmed Helmy,et al.  The IMPORTANT framework for analyzing the Impact of Mobility on Performance Of RouTing protocols for Adhoc NeTworks , 2003, Ad Hoc Networks.

[34]  Martin Mauve,et al.  A routing strategy for vehicular ad hoc networks in city environments , 2003, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683).

[35]  Amit Kumar Saha,et al.  Modeling mobility for vehicular ad-hoc networks , 2004, VANET '04.

[36]  Hiroaki Kitano,et al.  Biological robustness , 2008, Nature Reviews Genetics.

[37]  Hans-Paul Schwefel,et al.  Evolution strategies – A comprehensive introduction , 2002, Natural Computing.

[38]  Kaixin Xu,et al.  Group and swarm mobility models for ad hoc network scenarios using virtual tracks , 2004, IEEE MILCOM 2004. Military Communications Conference, 2004..

[39]  Massimo Marchiori,et al.  Error and attacktolerance of complex network s , 2004 .

[40]  Bharat K. Bhargava,et al.  Peer-to-peer file-sharing over mobile ad hoc networks , 2004, IEEE Annual Conference on Pervasive Computing and Communications Workshops, 2004. Proceedings of the Second.

[41]  Toshiya Okabe,et al.  Wireless LAN access network system for moving vehicles , 2005, 10th IEEE Symposium on Computers and Communications (ISCC'05).

[42]  Luca Maria Gambardella,et al.  AntHocNet: an adaptive nature-inspired algorithm for routing in mobile ad hoc networks , 2005, Eur. Trans. Telecommun..

[43]  Luca Maria Gambardella,et al.  BISON: Biology-Inspired techniques for Self-Organization in dynamic Networks , 2005, Künstliche Intell..

[44]  Kwang-Hyun Cho,et al.  In silico identification of the key components and steps in IFN‐γ induced JAK‐STAT signaling pathway , 2005, FEBS letters.

[45]  Li Zhe,et al.  A Dynamic-cluster Energy-aware Routing Algorithm Based on Neural Structure in the Wireless Sensor Networks , 2005, The Fifth International Conference on Computer and Information Technology (CIT'05).

[46]  Marcin Seredynski,et al.  A Bandwidth-Efficient Broadcasting Protocol for Mobile Multi-hop Ad hoc Networks , 2006, International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies (ICNICONSMCL'06).

[47]  D. Pham,et al.  THE BEES ALGORITHM, A NOVEL TOOL FOR COMPLEX OPTIMISATION PROBLEMS , 2006 .

[48]  Mario Gerla,et al.  Emergency related video streaming in VANET using network coding , 2006, VANET '06.

[49]  H. T. Mouftah,et al.  Energy-aware on-demand routing protocols for wireless ad hoc networks , 2006, Wirel. Networks.

[50]  F. Ratnieks,et al.  Communication in ants , 2006, Current Biology.

[51]  D. Sims,et al.  Minimizing errors in identifying Lévy flight behaviour of organisms. , 2007, The Journal of animal ecology.

[52]  Masayuki Murata,et al.  Toward bio-inspired network robustness - Step 1. Modularity , 2007, 2007 2nd Bio-Inspired Models of Network, Information and Computing Systems.

[53]  Yu Wang,et al.  Routing in vehicular ad hoc networks: A survey , 2007, IEEE Vehicular Technology Magazine.

[54]  Paolo Bellavista,et al.  Standard Integration of Sensing and Opportunistic Diffusion for Urban Monitoring in Vehicular Sensor Networks: the MobEyes Architecture , 2007, 2007 IEEE International Symposium on Industrial Electronics.

[55]  Frederick Ducatelle,et al.  Adaptive routing in ad hoc wireless multi-hop networks , 2007 .

[56]  Falko Dressler,et al.  The DYMO Routing Protocol in VANET Scenarios , 2007, 2007 IEEE 66th Vehicular Technology Conference.

[57]  I-Fan Chen,et al.  A Mobility-Aware Link Enhancement Mechanism for Vehicular Ad Hoc Networks , 2008, EURASIP J. Wirel. Commun. Netw..

[58]  Mario Gerla,et al.  GeoDTN+Nav: A Hybrid Geographic and DTN Routing with Navigation Assistance in Urban Vehicular Networks , 2008 .

[59]  Biplab Sikdar,et al.  A Swarm-Intelligence-Based Protocol for Data Acquisition in Networks with Mobile Sinks , 2008, IEEE Transactions on Mobile Computing.

[60]  Hannes Hartenstein,et al.  A tutorial survey on vehicular ad hoc networks , 2008, IEEE Communications Magazine.

[61]  Elmar Schoch,et al.  Communication patterns in VANETs , 2008, IEEE Communications Magazine.

[62]  Robert Nagel,et al.  Efficient and realistic mobility and channel modeling for VANET scenarios using OMNeT++ and INET-framework , 2008, Simutools 2008.

[63]  Christian List,et al.  Independence and interdependence in collective decision making: an agent-based model of nest-site choice by honeybee swarms , 2009, Philosophical Transactions of the Royal Society B: Biological Sciences.

[64]  A.O. Tarakanov,et al.  Immunocomputing for intelligent intrusion detection , 2008, IEEE Computational Intelligence Magazine.

[65]  Biswanath Mukherjee,et al.  Wireless sensor network survey , 2008, Comput. Networks.

[66]  Mahmood Fathy,et al.  Enhancing AODV routing protocol using mobility parameters in VANET , 2008, 2008 IEEE/ACS International Conference on Computer Systems and Applications.

[67]  Robert G. Reynolds,et al.  Embedding a social fabric component into cultural algorithms toolkit for an enhanced knowledge-driven engineering optimization , 2008, Int. J. Intell. Comput. Cybern..

[68]  Christian Bonnet,et al.  Kinetic mobility management applied to vehicular ad hoc network protocols , 2008, Comput. Commun..

[69]  Antonio F. Gómez-Skarmeta,et al.  Architecture and evaluation of a unified V2V and V2I communication system based on cellular networks , 2008, Comput. Commun..

[70]  Antonio F. Gómez-Skarmeta,et al.  Assessment of VANET multi-hop routing over an experimental platform , 2009, Int. J. Internet Protoc. Technol..

[71]  Sidi-Mohammed Senouci,et al.  > Replace This Line with Your Paper Identification Number (double-click Here to Edit) < , 2022 .

[72]  Cristian Borcea,et al.  VANET Routing on City Roads Using Real-Time Vehicular Traffic Information , 2009, IEEE Transactions on Vehicular Technology.

[73]  Amin Vahdat,et al.  Epidemic Routing for Partially-Connected Ad Hoc Networks , 2009 .

[74]  Pietro Liò,et al.  Bio-inspired multi-agent data harvesting in a proactive urban monitoring environment , 2009, Ad Hoc Networks.

[75]  Mohammed Atiquzzaman,et al.  Stochastic Properties and Application of City Section Mobility Model , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[76]  Rami Langar,et al.  Adaptive Message Routing with QoS Support in Vehicular Ad Hoc Networks , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[77]  P. Bork,et al.  Evolution of biomolecular networks — lessons from metabolic and protein interactions , 2009, Nature Reviews Molecular Cell Biology.

[78]  El-Ghazali Talbi,et al.  Metaheuristics - From Design to Implementation , 2009 .

[79]  Sherali Zeadally,et al.  Design and performance analysis of an inductive QoS routing algorithm , 2009, Comput. Commun..

[80]  Guanglei Liu,et al.  Scalability of Network-Failure Resilience: Analysis Using Multi-Layer Probabilistic Graphical Models , 2009, IEEE/ACM Transactions on Networking.

[81]  R. Ramanathan,et al.  Scalability of Mobile Ad Hoc Networks: Theory vs practice , 2010, 2010 - MILCOM 2010 MILITARY COMMUNICATIONS CONFERENCE.

[82]  Rami Langar,et al.  Region-Based Location-Service-Management Protocol for VANETs , 2010, IEEE Transactions on Vehicular Technology.

[83]  Frank Neumann,et al.  Combinatorial Optimization and Computational Complexity , 2010 .

[84]  Natarajan Meghanathan A Simulation Study on the Impact of Mobility Models on the Network Connectivity, Hop Count and Lifetime of Routes for Ad hoc Networks , 2010, Informatica.

[85]  El-Ghazali Talbi,et al.  A survey on bee colony algorithms , 2010, 2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW).

[86]  Yuh-Shyan Chen,et al.  Routing Protocols in Vehicular Ad Hoc Networks: A Survey and Future Perspectives , 2010, J. Inf. Sci. Eng..

[87]  Hui Cheng,et al.  Genetic algorithms with immigrants schemes for dynamic multicast problems in mobile ad hoc networks , 2010, Eng. Appl. Artif. Intell..

[88]  Özgür B. Akan,et al.  A survey on bio-inspired networking , 2010, Comput. Networks.

[89]  Joaquim Celestino,et al.  Ant-DYMO: A bio-inspired algorithm for MANETS , 2010, 2010 17th International Conference on Telecommunications.

[90]  Abdelhamid Mellouk,et al.  QoS Swarm Bee Routing Protocol for Vehicular Ad Hoc Networks , 2011, 2011 IEEE International Conference on Communications (ICC).

[91]  Muddassar Farooq,et al.  Swarm intelligence based routing protocol for wireless sensor networks: Survey and future directions , 2011, Inf. Sci..

[92]  Xiaojun Wu,et al.  QoS multicast routing using a quantum-behaved particle swarm optimization algorithm , 2011, Eng. Appl. Artif. Intell..

[93]  Imad Mahgoub,et al.  The distance-to-mean broadcast method for vehicular wireless communication systems , 2011, 2011 International Conference on Innovations in Information Technology.

[94]  Faramarz Hendessi,et al.  An Intelligent Routing Protocol for Delay Tolerant Networks Using Genetic Algorithm , 2011, NEW2AN.

[95]  Chih-Heng Ke,et al.  Fuzzy-assisted social-based routing for urban vehicular environments , 2011, EURASIP J. Wirel. Commun. Netw..

[96]  John B. Kenney,et al.  Dedicated Short-Range Communications (DSRC) Standards in the United States , 2011, Proceedings of the IEEE.

[97]  Joachim Selbig,et al.  Robustness of metabolic networks: A review of existing definitions , 2011, Biosyst..

[98]  Sagar Naik,et al.  Intersection-Based Geographical Routing Protocol for VANETs: A Proposal and Analysis , 2011, IEEE Transactions on Vehicular Technology.

[99]  Imad Mahgoub,et al.  Applying machine learning to the design of multi-hop broadcast protocols for VANET , 2011, 2011 7th International Wireless Communications and Mobile Computing Conference.

[100]  P. Rocca,et al.  Differential Evolution as Applied to Electromagnetics , 2011, IEEE Antennas and Propagation Magazine.

[101]  Ganesh K. Venayagamoorthy,et al.  Computational Intelligence in Wireless Sensor Networks: A Survey , 2011, IEEE Communications Surveys & Tutorials.

[102]  Joaquim Celestino,et al.  Mobility-aware Ant Colony Optimization routing for vehicular ad hoc networks , 2011, 2011 IEEE Wireless Communications and Networking Conference.

[103]  Enrique Alba,et al.  Fast energy-aware OLSR routing in VANETs by means of a parallel evolutionary algorithm , 2012, Cluster Computing.

[104]  Onkar Sahni,et al.  Neighborhood communication paradigm to increase scalability in large-scale dynamic scientific applications , 2012, Parallel Comput..

[105]  Enrique Alba,et al.  Parallel Swarm Intelligence for VANETs Optimization , 2012, 2012 Seventh International Conference on P2P, Parallel, Grid, Cloud and Internet Computing.

[106]  D. K. Behera,et al.  A trust based clustering with Ant Colony Routing in VANET , 2012, 2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12).

[107]  Sherali Zeadally,et al.  Vehicular ad hoc networks (VANETS): status, results, and challenges , 2010, Telecommunication Systems.

[108]  Kamalrulnizam Abu Bakar,et al.  A fuzzy logic approach to beaconing for vehicular ad hoc networks , 2013, Telecommun. Syst..

[109]  Cecilia Mascolo,et al.  Evaluating Temporal Robustness of Mobile Networks , 2013, IEEE Transactions on Mobile Computing.

[110]  Sherali Zeadally,et al.  A state-dependent time evolving multi-constraint routing algorithm , 2013, TAAS.

[111]  V. Vèque,et al.  CONVOY: A New Cluster‐Based Routing Protocol for Vehicular Networks , 2013 .

[112]  Houda Labiod,et al.  Vehicular Networks: Models and Algorithms , 2013 .

[113]  Ahmed Patel,et al.  Stable multicast trees based on Ant Colony optimization for vehicular Ad Hoc networks , 2013, The International Conference on Information Networking 2013 (ICOIN).

[114]  Sheng-Shih Wang,et al.  PassCAR: A passive clustering aided routing protocol for vehicular ad hoc networks , 2013, Comput. Commun..

[115]  Abdelhamid Mellouk,et al.  Markov-History Based Modeling for Realistic Mobility of Vehicles in VANETs , 2013, 2013 IEEE 77th Vehicular Technology Conference (VTC Spring).

[116]  Sherali Zeadally,et al.  HyBR: A Hybrid Bio-inspired Bee swarm Routing protocol for safety applications in Vehicular Ad hoc NETworks (VANETs) , 2013, J. Syst. Archit..

[117]  Abdelhamid Mellouk,et al.  Bee life-based multi constraints multicast routing optimization for vehicular ad hoc networks , 2013, J. Netw. Comput. Appl..

[118]  Taejin Kim,et al.  Fully-distributed multicast routing protocol for IEEE 802.15.8 peer-aware communications , 2014, The International Conference on Information Networking 2014 (ICOIN2014).

[119]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .