Nature is the immense gifted source for solving
complex problems. It always helps to find the opt... more 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.
Routing in MANET is extremely challenging because of MANETs dynamic features, its limited bandwid... more Routing in MANET is extremely challenging because of MANETs dynamic features, its limited bandwidth, frequent topology changes caused by node mobility and power energy consumption. In order to efficiently transmit data to destinations, the applicable routing algorithms must be implemented in mobile ad-hoc networks. Thus we can increase the efficiency of the routing by satisfying the Quality of Service (QoS) parameters by developing routing algorithms for MANETs. The algorithms that are inspired by the principles of natural biological evolution and distributed collective behavior of social colonies have shown excellence in dealing with complex optimization problems and are becoming more popular. This paper presents a survey on few meta-heuristic algorithms and naturally-inspired algorithms.
Nature is a great source of inspiration for solving complex problems in networks. It helps to fin... more Nature is a great source of inspiration for solving complex problems in networks. It helps to find the optimal solution. Metaheuristic algorithm is one of the nature-inspired algorithm which helps in solving routing problem in networks. The dynamic features, changing of topology frequently and limited bandwidth make the routing, challenging in MANET. Implementation of appropriate routing algorithms leads to the efficient transmission of data in mobile ad hoc networks. The algorithms that are inspired by the principles of naturally-distributed/collective behavior of social colonies have shown excellence in dealing with complex optimization problems. Thus some of the bio-inspired metaheuristic algorithms help to increase the efficiency of routing in ad hoc networks. This survey work presents the overview of bio-inspired metaheuristic algorithms which support the efficiency of routing in mobile ad hoc networks.
Mobile ad hoc networks (MANETs) include wireless communication and mobile nodes. High node mobil... more Mobile ad hoc networks (MANETs) include wireless communication and mobile nodes. High node mobility and limited wireless communication range mean that nodes have to cooperate in order to ensure networking, with the network changing to meet needs continually. Protocols’ dynamic nature enables MANET operation to ensure deployment in extreme/volatile circumstances. Hence, MANETs are very popular research topics and have been used in areas like tactical operations, rescue operations and environmental monitoring. This paper proposes a method to mitigate malicious nodes forming Denial of service attacks in associativity based ad hoc network. It is divided into two phases: detection before route establishment and avoiding malicious nodes in data forwarding. Simplicity and effectively detecting malicious nodes are the main points of the proposed scheme.
With availability of hand held devices increasingly across various sections of the society the lo... more With availability of hand held devices increasingly across various sections of the society the logical step in health care management is providing support anywhere and anytime. In scenarios like disasters where infrastructure may not be available for communication, intra communication between the devices without infrastructure is the logical design of networks where in communication is established between mobile devices. . A Mobile Adhoc Networks (MANET) is a group of mobile nodes communicating with each other without infrastructure or centralized administration. Security plays a very important role in such networks where personal data may be exchanged. Routing protocols should be able to cope with malicious nodes that disrupt correct routing protocol functioning by modifying routing information and other activities. In this paper, an enhanced Associativity Based Routing (ABR), Fuzzy Game Theory Trust ABR (FGT2- ABR), is proposed to mitigate network attacks with emphasis on pervasive health monitoring systems. The proposed method selects a route based on fuzzy game theory. Hello messages contain “AN - Avoid node” field based on malicious node detection. Membership functions used are successful deliveries number, Memory utilization and computed trust. Trust includes neighborhood trust based and recommendation based trust.
This paper presents the performance of Integrated
Bacterial Foraging Optimization and Particle Sw... more This paper presents the performance of Integrated Bacterial Foraging Optimization and Particle Swarm Optimization (IBFO_PSO) technique in MANET routing. The BFO is a bioinspired algorithm, which simulates the foraging behavior of bacteria. It is effectively applied in improving the routing performance in MANET. In results, it is proved that the PSO integrated with BFO reduces routing delay, energy consumption and communication overhead.
Nature is the immense gifted source for solving
complex problems. It always helps to find the opt... more 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.
Routing in MANET is extremely challenging because of MANETs dynamic features, its limited bandwid... more Routing in MANET is extremely challenging because of MANETs dynamic features, its limited bandwidth, frequent topology changes caused by node mobility and power energy consumption. In order to efficiently transmit data to destinations, the applicable routing algorithms must be implemented in mobile ad-hoc networks. Thus we can increase the efficiency of the routing by satisfying the Quality of Service (QoS) parameters by developing routing algorithms for MANETs. The algorithms that are inspired by the principles of natural biological evolution and distributed collective behavior of social colonies have shown excellence in dealing with complex optimization problems and are becoming more popular. This paper presents a survey on few meta-heuristic algorithms and naturally-inspired algorithms.
Nature is a great source of inspiration for solving complex problems in networks. It helps to fin... more Nature is a great source of inspiration for solving complex problems in networks. It helps to find the optimal solution. Metaheuristic algorithm is one of the nature-inspired algorithm which helps in solving routing problem in networks. The dynamic features, changing of topology frequently and limited bandwidth make the routing, challenging in MANET. Implementation of appropriate routing algorithms leads to the efficient transmission of data in mobile ad hoc networks. The algorithms that are inspired by the principles of naturally-distributed/collective behavior of social colonies have shown excellence in dealing with complex optimization problems. Thus some of the bio-inspired metaheuristic algorithms help to increase the efficiency of routing in ad hoc networks. This survey work presents the overview of bio-inspired metaheuristic algorithms which support the efficiency of routing in mobile ad hoc networks.
Mobile ad hoc networks (MANETs) include wireless communication and mobile nodes. High node mobil... more Mobile ad hoc networks (MANETs) include wireless communication and mobile nodes. High node mobility and limited wireless communication range mean that nodes have to cooperate in order to ensure networking, with the network changing to meet needs continually. Protocols’ dynamic nature enables MANET operation to ensure deployment in extreme/volatile circumstances. Hence, MANETs are very popular research topics and have been used in areas like tactical operations, rescue operations and environmental monitoring. This paper proposes a method to mitigate malicious nodes forming Denial of service attacks in associativity based ad hoc network. It is divided into two phases: detection before route establishment and avoiding malicious nodes in data forwarding. Simplicity and effectively detecting malicious nodes are the main points of the proposed scheme.
With availability of hand held devices increasingly across various sections of the society the lo... more With availability of hand held devices increasingly across various sections of the society the logical step in health care management is providing support anywhere and anytime. In scenarios like disasters where infrastructure may not be available for communication, intra communication between the devices without infrastructure is the logical design of networks where in communication is established between mobile devices. . A Mobile Adhoc Networks (MANET) is a group of mobile nodes communicating with each other without infrastructure or centralized administration. Security plays a very important role in such networks where personal data may be exchanged. Routing protocols should be able to cope with malicious nodes that disrupt correct routing protocol functioning by modifying routing information and other activities. In this paper, an enhanced Associativity Based Routing (ABR), Fuzzy Game Theory Trust ABR (FGT2- ABR), is proposed to mitigate network attacks with emphasis on pervasive health monitoring systems. The proposed method selects a route based on fuzzy game theory. Hello messages contain “AN - Avoid node” field based on malicious node detection. Membership functions used are successful deliveries number, Memory utilization and computed trust. Trust includes neighborhood trust based and recommendation based trust.
This paper presents the performance of Integrated
Bacterial Foraging Optimization and Particle Sw... more This paper presents the performance of Integrated Bacterial Foraging Optimization and Particle Swarm Optimization (IBFO_PSO) technique in MANET routing. The BFO is a bioinspired algorithm, which simulates the foraging behavior of bacteria. It is effectively applied in improving the routing performance in MANET. In results, it is proved that the PSO integrated with BFO reduces routing delay, energy consumption and communication overhead.
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Papers by GEETHA K
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.
topology changes caused by node mobility and power energy
consumption. In order to efficiently transmit data to destinations, the applicable routing algorithms must be implemented in mobile ad-hoc networks. Thus we can increase the efficiency of the routing by satisfying the Quality of Service (QoS) parameters by developing routing algorithms for MANETs. The algorithms that are inspired by the principles of natural biological evolution and distributed
collective behavior of social colonies have shown excellence in dealing with complex optimization problems and are becoming more popular. This paper presents a survey on few meta-heuristic algorithms and naturally-inspired algorithms.
Metaheuristic algorithm is one of the nature-inspired algorithm which helps in solving routing problem in networks. The dynamic features, changing of topology frequently and limited bandwidth make the routing, challenging in MANET. Implementation of appropriate
routing algorithms leads to the efficient transmission of data in mobile ad hoc networks. The algorithms that are inspired by the principles of naturally-distributed/collective behavior of social colonies have shown excellence in dealing with complex optimization problems. Thus some of the bio-inspired metaheuristic algorithms help to increase the efficiency of routing in ad hoc networks. This survey work presents the overview of bio-inspired metaheuristic algorithms which support the efficiency of routing in
mobile ad hoc networks.
proposed scheme.
Bacterial Foraging Optimization and Particle Swarm Optimization (IBFO_PSO) technique in MANET routing. The BFO is a bioinspired algorithm, which simulates the foraging behavior of bacteria. It is effectively applied in improving the routing performance in MANET. In results, it is proved that the PSO integrated with BFO reduces routing delay, energy consumption and communication overhead.
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.
topology changes caused by node mobility and power energy
consumption. In order to efficiently transmit data to destinations, the applicable routing algorithms must be implemented in mobile ad-hoc networks. Thus we can increase the efficiency of the routing by satisfying the Quality of Service (QoS) parameters by developing routing algorithms for MANETs. The algorithms that are inspired by the principles of natural biological evolution and distributed
collective behavior of social colonies have shown excellence in dealing with complex optimization problems and are becoming more popular. This paper presents a survey on few meta-heuristic algorithms and naturally-inspired algorithms.
Metaheuristic algorithm is one of the nature-inspired algorithm which helps in solving routing problem in networks. The dynamic features, changing of topology frequently and limited bandwidth make the routing, challenging in MANET. Implementation of appropriate
routing algorithms leads to the efficient transmission of data in mobile ad hoc networks. The algorithms that are inspired by the principles of naturally-distributed/collective behavior of social colonies have shown excellence in dealing with complex optimization problems. Thus some of the bio-inspired metaheuristic algorithms help to increase the efficiency of routing in ad hoc networks. This survey work presents the overview of bio-inspired metaheuristic algorithms which support the efficiency of routing in
mobile ad hoc networks.
proposed scheme.
Bacterial Foraging Optimization and Particle Swarm Optimization (IBFO_PSO) technique in MANET routing. The BFO is a bioinspired algorithm, which simulates the foraging behavior of bacteria. It is effectively applied in improving the routing performance in MANET. In results, it is proved that the PSO integrated with BFO reduces routing delay, energy consumption and communication overhead.