Investigation on Novel Based Naturally-Inspired Swarm Intelligence Algorithms for Optimization Problems in Mobile Ad Hoc Networks
Nature is the immense gifted source for solving
complex problems. It always helps to find the optimal solution to
solve the problem. Mobile Ad Hoc NETwork (MANET) is a wide
research area of networks which has set of independent nodes. The
characteristics involved in MANET’s are Dynamic, does not depend
on any fixed infrastructure or centralized networks, High mobility.
The Bio-Inspired algorithms are mimics the nature for solving
optimization problems opening a new era in MANET. The typical
Swarm Intelligence (SI) algorithms are Ant Colony Optimization
(ACO), Artificial Bee Colony (ABC), Particle Swarm Optimization
(PSO), Modified Termite Algorithm, Bat Algorithm (BA), Wolf
Search Algorithm (WSA) and so on. This work mainly concentrated
on nature of MANET and behavior of nodes. Also it analyses various
performance metrics such as throughput, QoS and End-to-End delay
etc.
[1] C. Rajan, N. Shanthi, C. Rasi Priya, K. Geetha, “Investigation on Novel
Based Metaheuristic Algorithms for Combinatorial Optimization
Problems in Ad Hoc Networks”, World Academy of Science,
Engineering and Technology, vol:8, no:6, 2014. [2] C. Rajan, K. Geetha, C. Rasi Priya, R. Sasikala, “Investigation on Bio-
Inspired Population Based Metaheuristic Algorithms for Optimization
Problems in Ad Hoc Networks”, World Academy of Science,
Engineering and Technology, vol:9, no:3, 2015.
[3] Pooia Lalbakhsh, Bahram Zaeri, Yi-Ping Phoebe Chen., “Using Dead
Ants to improve the robustness and adaptability of AntNet routing
algorithm” The Journal of Network and Computer Applications,
Elsevier, Article in press 2015.
[4] B. Nancharaiah, B. Chandra Mohan “The performance of hybrid routing
intelligent algorithm in a mobile ad hoc network”, Computers and
Electrical Engineering, Elsevier, 2015.
[5] Peng-Yeng Yin, Ray-I. Chang, Chih-Chiang Chao, Yen-Ting Chu
“Niched ant colony optimization with colony guides for Qos multicast
routing” The Journal of Network and Computer Applications, Elsevier,
aug 2013.
[6] Arit Thammano, Patcharawadee Poolsamran “SMBO-A Self-Organizing
model of marriage in honey bee optimization” Expert System with
Applications 39 5576–5583, Elsevier, 2012.
[7] K. G. Santhiya, Dr. N. Arumugam “A Novel-Adaptive Bio-Inspired
Clustered Routing for MANET” International Conference on
Communication Technology and System Design, 2011
[8] Adamu Murtala Zungeru, Li-Minn Ang, Kah Phooi Seng “Termite-hill:
Performance optimized swarm intelligence based routing algorithm for
wireless sensor network” Journal of Network and Computer Application
35 1901–1917, Elsevier 2012.
[9] N. Ramaraj, N. Umapathi, “SWARM Intelligence based dynamic source
routing for improved quality of service”, Journal of Theoretical and
Applied Information Technology Vol. 61 No.3, 31st March 2014.
[10] Shahla Shoghian, Maryam Kouzehgar "A Comparison among Wolf Pack
Search andFour other Optimization Algorithms" World Academy of
Science, Engineering and Technology Vol:6 2012-12-23 [11] H. Hakli, H. Uğuz, “A novel particle swarm optimization algorithm with
Levy flight” Journal of Applied Soft Computing, Article in press.
[12] R. Kalaiarasi, D.Sridharan, “Performance improvement of Mobile Ad
Hoc Network Using Particle Swarm Optimization” Journal of
Computational Information Systems 9: 11 4213–4221, 2014.
[13] Chenn-Jung Huang, Yi-Ta Chuang, Kai-Wen Hu “Using particle swam
optimization for QoS in ad-hoc multicast” journal of Engineering
Applications and Artificial Intelligence, 2009.
[14] Sharvani G S, Dr. A G Ananth and Dr T M Rangaswamy "Ant Colony
Optimization Based Modified Termite Algorithm (MTA) With Efficient
Stagnation Avoidance Strategy for Manets" International journal on
application of graph theory in wierless ad hoc networks and sensor
networks (GRAPH-HOC) Vol.4, No.2/3, September 2012.
[15] Sharvani G S, Cauvery N K, Dr. Rangaswamy. T “Adaptive Routing
Algorithm for MANET: TERMITE” International Journal of Next-
Generation Networks (IJNGN), Vol.1, No.1, December 2009.
[16] Praveenkumar G Hoolimath, Kiran M, G Ram Mohana Reddy
“Optimized TERMITE: A Bio-inspired Routing Algorithm for
MANET’s” 978-1-4673-2014-6/12/$31.00 IEEE, 2009.
[17] S. Prasad, Y. P. Singh, and C. S. Rai "Swarm Based Intelligent Routing
for MANETs" International Journal of Recent Trends in Engineering,
Vol 1, No. 1, May 2009
[18] Manoj Kumar Patel, Manas Ranjan Kabat, Chita Ranjan Tripathy “A
hybrid ACO/PSO based algorithm for QoS multicast routing problem”
Ain Shams Engineering Journal (2014) 5, 113–120.
[19] Rui Tang, Simon Fong, Xin-She Yang, Suash Deb, “Wolf Search
Algorithm with Ephemeral Memory” 978-1-4673-2430-4/12/$31.00
IEEE 2012.
[20] Yi-Ting Chen, Tsair-Fwu Lee, Mong-Fong Horng, Jeng-Shyang Pan,
Shu-Chuan Chu “An Echo-Aided Bat Algorithm to Support Measurable
Movement for Optimization Efficiency” IEEE International Conference
on Systems, Man, and Cybernetics, 2013.
[21] Vahid Rashtchi Javad Gholinezhad, Peyman Farhang “Optimal
coordination of overcurrent relays using Honey Bee Algorithm”
International congress on ultra-modern telecommunication control
systems and workshops (ICUMT), 2010.
[22] Mong-Fong Horng, Yi-Ting Chen, Shu-Chuan Chu, Jeng-Shyang Pan,
Bin-Yih Liao, “An Extensible Particles Swarm Optimization for Energy-
Effective Cluster Management of Underwater Sensor Networks”, In
Proceeding of Second International Conference on Computational
Collective intelligence (ICCCI), pp. 109-116, Springer 2010.
[23] Yi-Ting Chen, Mong-Fong Horng, Chih-Cheng Lo, Jeng-Shyang
Panand Shu-Chuan Chu, “A new scheme of ant colony system algorithm
to discovery optimal solution with flip-flop search”, IEEE Conference
on System, Man and Cybernetic (SMC), pp. 925-930, 2011
[24] Vahid Rashtchi, Javad Gholinezhad and Peyman Farhang “Optimal
coordination using honey bee” International congress ob ultra-modern
telecommunication and control systems and workshop 2010.
[25] Rehab F. Abdel-Kader “Hybrid discrete PSO with GA operators for
efficient QoS-multicast routing” Ain Shams Engineering Journal, 2011.
[26] B. Nancharaiah, B. Chandra Mohan “Hybrid optimization using ant
colony optimization and cuckoo search algorithm in MANET routing”
International Conference on Communication and Signal Processing,
April 3-5, 2014, India.
[27] Mesut Güneş, Udo Sorges, Imed Bouazizi “ARA-The ant colony based
routing algorithms for MANET” International Workshop on Ad Hoc
Networking (IWAHN 2002), Vancouver, British Columbia, Canada,
August 18-21, 2002.
[1] C. Rajan, N. Shanthi, C. Rasi Priya, K. Geetha, “Investigation on Novel
Based Metaheuristic Algorithms for Combinatorial Optimization
Problems in Ad Hoc Networks”, World Academy of Science,
Engineering and Technology, vol:8, no:6, 2014. [2] C. Rajan, K. Geetha, C. Rasi Priya, R. Sasikala, “Investigation on Bio-
Inspired Population Based Metaheuristic Algorithms for Optimization
Problems in Ad Hoc Networks”, World Academy of Science,
Engineering and Technology, vol:9, no:3, 2015.
[3] Pooia Lalbakhsh, Bahram Zaeri, Yi-Ping Phoebe Chen., “Using Dead
Ants to improve the robustness and adaptability of AntNet routing
algorithm” The Journal of Network and Computer Applications,
Elsevier, Article in press 2015.
[4] B. Nancharaiah, B. Chandra Mohan “The performance of hybrid routing
intelligent algorithm in a mobile ad hoc network”, Computers and
Electrical Engineering, Elsevier, 2015.
[5] Peng-Yeng Yin, Ray-I. Chang, Chih-Chiang Chao, Yen-Ting Chu
“Niched ant colony optimization with colony guides for Qos multicast
routing” The Journal of Network and Computer Applications, Elsevier,
aug 2013.
[6] Arit Thammano, Patcharawadee Poolsamran “SMBO-A Self-Organizing
model of marriage in honey bee optimization” Expert System with
Applications 39 5576–5583, Elsevier, 2012.
[7] K. G. Santhiya, Dr. N. Arumugam “A Novel-Adaptive Bio-Inspired
Clustered Routing for MANET” International Conference on
Communication Technology and System Design, 2011
[8] Adamu Murtala Zungeru, Li-Minn Ang, Kah Phooi Seng “Termite-hill:
Performance optimized swarm intelligence based routing algorithm for
wireless sensor network” Journal of Network and Computer Application
35 1901–1917, Elsevier 2012.
[9] N. Ramaraj, N. Umapathi, “SWARM Intelligence based dynamic source
routing for improved quality of service”, Journal of Theoretical and
Applied Information Technology Vol. 61 No.3, 31st March 2014.
[10] Shahla Shoghian, Maryam Kouzehgar "A Comparison among Wolf Pack
Search andFour other Optimization Algorithms" World Academy of
Science, Engineering and Technology Vol:6 2012-12-23 [11] H. Hakli, H. Uğuz, “A novel particle swarm optimization algorithm with
Levy flight” Journal of Applied Soft Computing, Article in press.
[12] R. Kalaiarasi, D.Sridharan, “Performance improvement of Mobile Ad
Hoc Network Using Particle Swarm Optimization” Journal of
Computational Information Systems 9: 11 4213–4221, 2014.
[13] Chenn-Jung Huang, Yi-Ta Chuang, Kai-Wen Hu “Using particle swam
optimization for QoS in ad-hoc multicast” journal of Engineering
Applications and Artificial Intelligence, 2009.
[14] Sharvani G S, Dr. A G Ananth and Dr T M Rangaswamy "Ant Colony
Optimization Based Modified Termite Algorithm (MTA) With Efficient
Stagnation Avoidance Strategy for Manets" International journal on
application of graph theory in wierless ad hoc networks and sensor
networks (GRAPH-HOC) Vol.4, No.2/3, September 2012.
[15] Sharvani G S, Cauvery N K, Dr. Rangaswamy. T “Adaptive Routing
Algorithm for MANET: TERMITE” International Journal of Next-
Generation Networks (IJNGN), Vol.1, No.1, December 2009.
[16] Praveenkumar G Hoolimath, Kiran M, G Ram Mohana Reddy
“Optimized TERMITE: A Bio-inspired Routing Algorithm for
MANET’s” 978-1-4673-2014-6/12/$31.00 IEEE, 2009.
[17] S. Prasad, Y. P. Singh, and C. S. Rai "Swarm Based Intelligent Routing
for MANETs" International Journal of Recent Trends in Engineering,
Vol 1, No. 1, May 2009
[18] Manoj Kumar Patel, Manas Ranjan Kabat, Chita Ranjan Tripathy “A
hybrid ACO/PSO based algorithm for QoS multicast routing problem”
Ain Shams Engineering Journal (2014) 5, 113–120.
[19] Rui Tang, Simon Fong, Xin-She Yang, Suash Deb, “Wolf Search
Algorithm with Ephemeral Memory” 978-1-4673-2430-4/12/$31.00
IEEE 2012.
[20] Yi-Ting Chen, Tsair-Fwu Lee, Mong-Fong Horng, Jeng-Shyang Pan,
Shu-Chuan Chu “An Echo-Aided Bat Algorithm to Support Measurable
Movement for Optimization Efficiency” IEEE International Conference
on Systems, Man, and Cybernetics, 2013.
[21] Vahid Rashtchi Javad Gholinezhad, Peyman Farhang “Optimal
coordination of overcurrent relays using Honey Bee Algorithm”
International congress on ultra-modern telecommunication control
systems and workshops (ICUMT), 2010.
[22] Mong-Fong Horng, Yi-Ting Chen, Shu-Chuan Chu, Jeng-Shyang Pan,
Bin-Yih Liao, “An Extensible Particles Swarm Optimization for Energy-
Effective Cluster Management of Underwater Sensor Networks”, In
Proceeding of Second International Conference on Computational
Collective intelligence (ICCCI), pp. 109-116, Springer 2010.
[23] Yi-Ting Chen, Mong-Fong Horng, Chih-Cheng Lo, Jeng-Shyang
Panand Shu-Chuan Chu, “A new scheme of ant colony system algorithm
to discovery optimal solution with flip-flop search”, IEEE Conference
on System, Man and Cybernetic (SMC), pp. 925-930, 2011
[24] Vahid Rashtchi, Javad Gholinezhad and Peyman Farhang “Optimal
coordination using honey bee” International congress ob ultra-modern
telecommunication and control systems and workshop 2010.
[25] Rehab F. Abdel-Kader “Hybrid discrete PSO with GA operators for
efficient QoS-multicast routing” Ain Shams Engineering Journal, 2011.
[26] B. Nancharaiah, B. Chandra Mohan “Hybrid optimization using ant
colony optimization and cuckoo search algorithm in MANET routing”
International Conference on Communication and Signal Processing,
April 3-5, 2014, India.
[27] Mesut Güneş, Udo Sorges, Imed Bouazizi “ARA-The ant colony based
routing algorithms for MANET” International Workshop on Ad Hoc
Networking (IWAHN 2002), Vancouver, British Columbia, Canada,
August 18-21, 2002.
@article{"International Journal of Engineering, Mathematical and Physical Sciences:69621", author = "C. Rajan and K. Geetha and C. Rasi Priya and S. Geetha", title = "Investigation on Novel Based Naturally-Inspired Swarm Intelligence Algorithms for Optimization Problems in Mobile Ad Hoc Networks", abstract = "Nature is the immense gifted source for solving
complex problems. It always helps to find the optimal solution to
solve the problem. Mobile Ad Hoc NETwork (MANET) is a wide
research area of networks which has set of independent nodes. The
characteristics involved in MANET’s are Dynamic, does not depend
on any fixed infrastructure or centralized networks, High mobility.
The Bio-Inspired algorithms are mimics the nature for solving
optimization problems opening a new era in MANET. The typical
Swarm Intelligence (SI) algorithms are Ant Colony Optimization
(ACO), Artificial Bee Colony (ABC), Particle Swarm Optimization
(PSO), Modified Termite Algorithm, Bat Algorithm (BA), Wolf
Search Algorithm (WSA) and so on. This work mainly concentrated
on nature of MANET and behavior of nodes. Also it analyses various
performance metrics such as throughput, QoS and End-to-End delay
etc.
", keywords = "Ant Colony Algorithm, Artificial Bee Colony
algorithm, Bio-Inspired algorithm, Modified Termite Algorithm.", volume = "9", number = "3", pages = "171-7", }
