Decision Making and Emergency Communication System in Rescue Simulation for People with Disabilities

Arai, Kohei; Sang, Tran Xuan

doi:10.14569/ijarai.2013.020312

Cited by 14 publications

(6 citation statements)

References 10 publications

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“…The numerical equation for standard deviation is given in Eq. (10). The fitness value fn is the position of Po .…”

Section: Rnmentioning

confidence: 99%

“…Instead of relying on other resources the mobile nodes through wireless interfaces interact with each other [9]. In infrastructureless system of temporary communication MANETs are applicable easily to any type of environments for instance large wild event places, earthquake-stricken areas [10]. The nodes communicate with each other within the given cluster or nodes within the another cluster directly.…”

Section: Introductionmentioning

confidence: 99%

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Impact of Improved Chicken Swam Optimization Based A algorithm In MANETs Routing

Devi,

Rao

2019

IJEAT

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Wireless devices utilization had increased drastically, which has shown an impact on over-all demand and utilization Mobile Ad-Hoc Network (MANET). Routing protocol is the fundamental and vital performance factor in the Mobile Ad-hoc Network (MANET). The routing protocols in MANET are accomplished to handle a lot number of nodes with restricted resources. Multiple routing protocols exist in MANETs. Once of the main challenges in routing protocols is its generation of adverse influence on network performance. Accordingly, this paper plans to implement an obstacle-ware MANET routing model using improved meta-heuristic-based A* algorithm. The algorithm efficiently plots a path between multiple nodes avoiding obstacles, or points, on the graph that results in producing a shortest path without any obstacles. The improved meta-heuristic algorithm termed as Fitness and Position Ratiobased Chicken Swarm Optimization (FPR-CSO) is used to improvise the A* algorithm. The comparative analysis of different optimized A* over Ad hoc On-Demand Distance Vector (AODV) confirms the consistent performance of the proposed model

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“…The numerical equation for standard deviation is given in Eq. (10). The fitness value fn is the position of Po .…”

Section: Rnmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impact of Improved Chicken Swam Optimization Based A algorithm In MANETs Routing

Devi,

Rao

2019

IJEAT

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show abstract

“…In MANETs the nodes are by nature having the feature of mobility they do not relay on infrastructure and nodes communicate and interact with each other across the wireless the interfaces [9]. MANETs are easily applicable when there is a requirement for temporary communication system without infrastructure for instance events of large wild and region stricken by earthquakes [10]. The nodes communicate with each other within the given cluster or nodes within another cluster heads directly.…”

Section: Wireless Communication Is Topmost Communicationmentioning

confidence: 99%

Artificial Intelligence Based A Optimization Routing in Mobile Ad Hoc Networks

Devi,

Rao

2019

IJEAT

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A Mobile Ad Hoc Network (MANET) is a hotchpotch of nodes with mobility feature, the established network utilization is dynamically outlined based on temporary architecture. In MANETs, the challenging and vital role is played by the routing protocols performance factors under different condition and environments. The routing protocols are liable to handle many nodes with limited resources. There exits many routing protocols in MANETs, one of the main key note that has to be considered in designing a routing protocol is to observe that the designed routing protocol is having an proportionate effect on network performance. The existence of obstacles may lead to many geographical routing problems like excess consumption of power and congestion of data. The aim of this paper is to take the assistance of A* algorithm that finds the walk-able path avoiding the concave obstacle in the path relaying on the gaming-theory model[29]. This algorithm decreases the delays in packet transmission and in turn increases the success rate of transmission. We take into consideration path length, penalty for node availability as probability of forwarding criteria and processes effective packet transmission. The simulated results analyse the performance of our protocol over other conventional algorithms based on congestion cost, path length, node availability penalty, delay, packet loss, throughput.

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“…MANETs are mechanized wireless communication networks that are self controlled mobile device configurations where mobile nodes cooperate with each another through wireless interfaces without hinge on any defined infrastructure [1]. MANETs are easily applicable when there is a requirement for temporary communication system without infrastructure for example: earthquakeafflicted zones and hefty wild events spot [2]. Whichever two nodes surrounded by the signal scope of the erstwhile side communicate directly; or else they can communicate all the way through other nodes.…”

Section: Introductionmentioning

confidence: 99%

“…(1). The total number of hops to forward the request message from source node to destination node is named as path length PL .The other nodes in the network send the feedback for the request message in the form of reply RREP represented in Eq (2),. which indicates that the request effectively reached the final node.…”

mentioning

confidence: 99%

Security Improved Chicken Swarm Optimization Based A* Routing Algorithm on MANETs

Devi*,

Rao

2020

IJRTE

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The mobile devices usage has been widespread, which directly impacts the increase of mobile communication, the increased usage of Mobile Ad-hoc networks(MANETs) has brought a rapid growth in the technology development. MANETs can be deployed in any environment conveniently as it comes under the category of ad-hoc networks which is infrastructureless. Due to flexibility of deployment features, it is compatible with other networks like PAN, LAN, etc.,. MANET is applicable in many applications like rescue of emergency disasters, military operations and other special environments where wired system may not support and of urgency. Since, MANETs are having the property of infrastructureless, nature of topology of network being dynamic, and lack of authority certification leads to certain problems with regard to security from attackers. In MANETs high attention should also be given to security parameter along with other parameters for efficient routing. With the aim of facing the possibility of malicious node attacks, the proposed paper presents the technique of detecting the malicious nodes attacks caused form two major attacks like blackhole and wormhole attacks are detected and prevented by Cooperative Bait Detection Scheme (CBDS). Once those attacks are prevented, the routing efficiency in MANETs for Chicken Swam Optimization based A* algorithm is improved, which is a computer algorithm that is broadly deployed in path finding and graph traversal. The comparative examination of Optimized A*, Ad-hoc On-Demand Distance Vector (AODV) with the proposed model against attacks, enhances the performance.

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Decision Making and Emergency Communication System in Rescue Simulation for People with Disabilities

Cited by 14 publications

References 10 publications

Impact of Improved Chicken Swam Optimization Based A algorithm In MANETs Routing

Impact of Improved Chicken Swam Optimization Based A algorithm In MANETs Routing

Artificial Intelligence Based A Optimization Routing in Mobile Ad Hoc Networks

Security Improved Chicken Swarm Optimization Based A* Routing Algorithm on MANETs

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