{"title":"Comparity Study of Traditional and Nature Inspired Routing Algorithms for Mobile Adhoc Network","authors":"S. Ashoka, M. Hanumanthappa, M. Manjunath","doi":"10.1109/ICSNS.2018.8573620","DOIUrl":"https://doi.org/10.1109/ICSNS.2018.8573620","url":null,"abstract":"Mobile Adhoc Networks (MANET) is infrastructureless based wireless network which enable peoples to communicate, exchange and share information between them in easy and efficient manner. MANET is one the most popular and important types of wireless networks that used in the mobile communication systems. Moreover, the operation of this kind of wireless networks rely on routing protocols. In MANET, the routing protocols are used to establish the data path in multi-hop fashion between the end nodes. The primary aim of such routing protocol is to transmit the data packets even if the link changes. The designing of routing protocols is one of the interesting research area and challenging task because of limited resources such as bandwidth, storage, transmission range and battery power. Though a number of routing solutions (proactive, reactive and hybrid) have been proposed aiming to fulfill some of these QoS requirements but it is hard to support all the requirements at the same time. Therefore, the routing protocols in MANET have become one of the key important research directions in the last decades. This article provides the brief comparity analysis of classical based routing protocols (AODV and S-AODV) and nature inspired algorithms (SARA and PAR).","PeriodicalId":190872,"journal":{"name":"2018 International Conference on Soft-computing and Network Security (ICSNS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115087697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Study on Sender Initiated Contention Based MAC Protocols without Reservation Mechanisms in Wireless Ad-Hoc Networks","authors":"Kannan Shanmugam","doi":"10.1109/ICSNS.2018.8573613","DOIUrl":"https://doi.org/10.1109/ICSNS.2018.8573613","url":null,"abstract":"An Adhoc network is a decentralized kind of wireless network, in which any fixed infrastructure is not required to initiate communication. Instead, it is a part of role of any mobile node in the network to forward the packet to the desired destination node. So, selecting a node among the available mobile nodes to participate in the communication is a challenging task. On the other hand, ensuring the availability of collision free and efficient medium to the mobile nodes is also an important task. Upon having such a medium, the mobile nodes can perform the routing and packet forwarding process in an effective manner. MAC protocols are used by the Adhoc networks for managing and controlling the medium in fair way for all nodes. This paper, perform the comprehensive study on important Sender Initiated Content based MAC protocols without Reservation Mechanism for adhoc networks.","PeriodicalId":190872,"journal":{"name":"2018 International Conference on Soft-computing and Network Security (ICSNS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124791286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Rayavel, P. Rathnavel, M. Bharathi, T. Siva Kumar
{"title":"Dynamic Traffic Control System Using Edge Detection Algorithm","authors":"P. Rayavel, P. Rathnavel, M. Bharathi, T. Siva Kumar","doi":"10.1109/ICSNS.2018.8573683","DOIUrl":"https://doi.org/10.1109/ICSNS.2018.8573683","url":null,"abstract":"As the traffic congestion increases on the transport network, Payable on the road to slower speeds, longer falter times, as a consequence bigger vehicular queuing, it's necessary to introduce smart way to reduce traffic. We are already edging closer to “smart city-smart travel”. Today, a large number of smart phone applications and connected sat-naves will help get you to your destination in the quickest and easiest manner possible due to real-time data and communication from a host of sources. In present situation, traffic lights are used in each phase. The other way is to use electronic sensors and magnetic coils that detect the congestion frequency and monitor traffic, but found to be more expensive. Hence we propose a traffic control system using image processing techniques like edge detection. The vehicles will be detected using images instead of sensors. The cameras are installed alongside of the road and it will capture image sequence for every 40 seconds. The digital image processing techniques will be applied to analyse and process the image and according to that the traffic signal lights will be controlled.","PeriodicalId":190872,"journal":{"name":"2018 International Conference on Soft-computing and Network Security (ICSNS)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128010380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Recrimination to Accident Using IoT Components for Healthcare Applications-A SURVEY","authors":"R. Jeevitha, N. Prasath","doi":"10.1109/ICSNS.2018.8573633","DOIUrl":"https://doi.org/10.1109/ICSNS.2018.8573633","url":null,"abstract":"Road accidents are increased in India. The increase in a number of vehicles and appreciable change in the road infrastructure is also believed as a reason for most accidents. The advent of technology has also increased the traffic hazards and the road accidents happen routinely leads to colossal loss of life and property. At unexpected state, the accident may occur. If an accident occurs unexpectedly the message is not properly indicated to the ambulance services. This problem is overcome by smart phones having GPS and inbuilt impact sensor. The sensor automatically detects a vehicular accident and gives an alert to the police, emergency medical services and concerned authorities. It transmits vehicle id, number of passengers and geographical location to concerned authorities. The alert may be an audio message like MMS or a text message like SMS. Before reaching to hospital in an ambulance the device have to check out the location which hospital is near and communication is established between hospital and ambulance service. In hospital, emergency medical service, patient's heartbeat and pressure, etc. are monitored using raspberry pi3or Arduino.","PeriodicalId":190872,"journal":{"name":"2018 International Conference on Soft-computing and Network Security (ICSNS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114964277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Combined Filtering Approach for Image Denoising","authors":"K. Murugan, V. Arunachalam, S. Karthik","doi":"10.1109/ICSNS.2018.8573626","DOIUrl":"https://doi.org/10.1109/ICSNS.2018.8573626","url":null,"abstract":"The quality of digital images are degraded by the noises. In this paper, a combined filtering approach is proposed to remove the salt & pepper noise. It consist of three value weighted filter and traditional median filter. In three value weighted filter, a variable local window is applied to find the noisy pixels. By using the noise free pixels in that window, the noisy pixels are reconstructed using three value method. In median filter, a variable local window is applied to reconstruct the noisy pixels. In that window the central noisy pixel is reconstructed by the median value of the pixels in that window. At last wavelet transform is used to increase the resolution of the reconstructed image. The experimental results shows that the proposed filter denoises the image and improves the resolution when compared to the existing methods.","PeriodicalId":190872,"journal":{"name":"2018 International Conference on Soft-computing and Network Security (ICSNS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123703796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Review on Cluster Based Group Adaptive Hybrid Routing Protocol for Mobility in MANET","authors":"P. Punitha, J. Shanthini, S. Karthik","doi":"10.1109/ICSNS.2018.8573627","DOIUrl":"https://doi.org/10.1109/ICSNS.2018.8573627","url":null,"abstract":"On MANET each host acts similarly as a switch the point when it is sending a bundle to other hosts. Here, directing protocol aides the intermediate hubs to ahead a bundle when the portable hubs are not in the same transmission extend In this way those directing protocol assumes a critical part done manes for figuring out An course. A point of interest is hubs are self-organized Also self- recuperating Furthermore self-management. Those hubs over Ad-hoc organize compelling reason not rely on upon At whatever equipment Also software, In this way it might join Furthermore communicated rapidly. Done a Ad-hoc system three sorts of directing may be could be allowed which are Unicast routing, Multi throws directing What's more mixture directing. This worth of effort will be utilized within military requisitions. Ad-hocsystems administration permits the military worth of effort methodology with assume control the preference about keeping up majority of the data to a system. This paper develops aggregation versatile group built mixture directing calculation to assembly versatility for manes. Versatile instrument is to exchanging between table determined directing what's more on-demand directing algorithm, each hubs might accordingly uniquely enhance the execution from claiming manes directing calculations. GAHRA is unrivaled to giving work to a preferred directing methodology Previously, An MANET.","PeriodicalId":190872,"journal":{"name":"2018 International Conference on Soft-computing and Network Security (ICSNS)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122967352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Enhanced Image Edge Detection Methods for Crab Species Identification","authors":"P. Prathusha, S. Jyothi, D. M. Mamatha","doi":"10.1109/ICSNS.2018.8573629","DOIUrl":"https://doi.org/10.1109/ICSNS.2018.8573629","url":null,"abstract":"Automatic Image Analysis, Image Classification, Automatic Object Recognition are some of the aspiring research areas in various fields of Engineering. Many Industrial and biological applications demand Image Analysis and Image Classification. Sample images available for classification may be complex, image data may be inadequate or component regions in the image may have poor visibility. With the available information each Digital Image Processing application has to analyze, classify and recognize the objects appropriately. Pre-processing, Image segmentation, feature extraction and classification are the most common steps to follow for Classification of Images. In this study we applied various existing edge detection methods like Robert, Sobel, Prewitt, Canny, Otsu and Laplacian of Guassian to crab images. From the conducted analysis of all edge detection operators, it is observed that Sobel, Prewitt, Robert operators are ideal for enhancement. The paper proposes Enhanced Sobel operator, Enhanced Prewitt operator and Enhanced Robert operator using morphological operations and masking. The novelty of the proposed approach is that it gives thick edges to the crab images and removes spurious edges with help of m-connectivity. Parameters which measure the accuracy of the results are employed to compare the existing edge detection operators with proposed edge detection operators. This approach shows better results than existing edge detection operators.","PeriodicalId":190872,"journal":{"name":"2018 International Conference on Soft-computing and Network Security (ICSNS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123517832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Budding Novel Applications in agriculture Victimization data processing","authors":"T. Lekhaa, A. Aruna, M. Malarmathi","doi":"10.1109/ICSNS.2018.8573617","DOIUrl":"https://doi.org/10.1109/ICSNS.2018.8573617","url":null,"abstract":"WEKA(Waikato setting for information Analysis) could be a variety of machine learning calculations for information preparing assignments. The calculations will either be connected on to a dataset or known as from your own particular Java code. This paper talks about a strategy display for breaking down learning, and depicts the help that rail accommodates this model. rail contains instruments for information pre-preparing, grouping, relapse, bunching, affiliation principles, and perception. it's conjointly appropriate for growing new machine learning plans.","PeriodicalId":190872,"journal":{"name":"2018 International Conference on Soft-computing and Network Security (ICSNS)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116259125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Intelligent Counselling Bot Using Ranking Algorithm in AI","authors":"V. Sakthivel, K. Srihari, S. Karthik, C. Anisha","doi":"10.1109/ICSNS.2018.8573642","DOIUrl":"https://doi.org/10.1109/ICSNS.2018.8573642","url":null,"abstract":"As the days passing the world keeps moving forward with various technologies which improve the standard of the people. In this modern era, the people have different life style and way of approach to their life. These modern approaches lead them to face various problems in their work place and society. As a result they get stress, tension or frustration which put their day off. So they search a way to get out from their problem. In this paper shows the implementation of counselling chatbot which is built based on Artificial intelligence. It provides counselling to the users to get out of the problems faced by them. The chatbot provide counselling to the user based on their mood. To establish a near - natural conversation with people, chatbots should analyze the input entered by the user and find out their mood and answer for their query.","PeriodicalId":190872,"journal":{"name":"2018 International Conference on Soft-computing and Network Security (ICSNS)","volume":"293 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117340949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Hybrid Multimodal Tracking System for boarder surveillance","authors":"Chhavi Dhiman, D. Vishwakarma","doi":"10.1109/ICSNS.2018.8573635","DOIUrl":"https://doi.org/10.1109/ICSNS.2018.8573635","url":null,"abstract":"Video surveillance activity is the act of observing the behavior of the person/object under surveillance. Surveillance at borders is a very sensitive issue of security. However, no real time automated border surveillance system has been developed yet. The proposed algorithm addresses the large distance between object and camera problem, due to which visual data can capture very limited scene information at borders, by analyzing additional seismic signals generated by the object while moving on the ground. If there are two objects, a unique pattern is extracted from the received mixed seismic signal for object identification. And Particle Swarm Optimization (PSO) algorithm is used to track the object. For experimental evaluation video samples with seismic signals are recorded which proves that integration of seismic signal analysis helps to identify the suspicious object on border which is not visible in images and has reduced the RMSE in predicting the new position of the object.","PeriodicalId":190872,"journal":{"name":"2018 International Conference on Soft-computing and Network Security (ICSNS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126184765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}