{"title":"Immuno-neural network for spectrum prediction","authors":"A. Periola, O. Falowo","doi":"10.1109/ANTS.2014.7057251","DOIUrl":"https://doi.org/10.1109/ANTS.2014.7057251","url":null,"abstract":"The artificial neural network is an important machine learning algorithm for secondary users (SUs) in cognitive radio networks. An SU equipped with an ANN is able to perform predictive modelling using input samples acquired for a channel sensed to be idle This input samples are acquired incurring an input sample acquisition time (ISAT) that reduces the data transmission time (DTI) and throughput of SUs in the network The reduction of the IS AT is therefore important for enhanced throughput. This paper addresses this issue by proposing the addition of a Kullback Leibler divergence (KID) layer to the neural network based on inspiration from artificial immune systems theory. This layer computes the dissimilairites between previous and current inputs and reduces IS AT. We examine the performance of the neural network with the added KID layer in three scenarios that consider the achievable SU throughput. The throughput performance of SUs are examined for three scenarios for single and dual mode SUs equipped with ANN and dual mode SUs equipped with recurrent ANNs in the first, second and third scenarios respectively. Performance analysis shows that the addition of the KID layer improves the DTT and the SU throughput compared to existing scheme.","PeriodicalId":333503,"journal":{"name":"2014 IEEE International Conference on Advanced Networks and Telecommuncations Systems (ANTS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122243477","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":"LTE multicast communication for demand response in smart grids","authors":"A. Roy, Hanseok Kim, N. Saxena, Radha R. Kandoori","doi":"10.1109/ANTS.2014.7057282","DOIUrl":"https://doi.org/10.1109/ANTS.2014.7057282","url":null,"abstract":"Smart grids envision large scale, distributed electrical power systems, equipped with communication and information technologies for automated, efficient, reliable and sustainable electricity production and distribution. Advanced communication technologies have the potential to significantly enhance the overall efficiency of smart power grids. In this paper we propose and analyze the use of LTE multicast between the aggregator and residential (or official) premises for efficient demand-response management in smart grids. Performance analysis and simulation results show that LTE multicast and emerging MBSFN is capable of providing low latency and packet drop with negligible impact on multimedia throughput.","PeriodicalId":333503,"journal":{"name":"2014 IEEE International Conference on Advanced Networks and Telecommuncations Systems (ANTS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128634081","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":"Evaluating polynomial regression based data aggregation in body area networks","authors":"A. Knox, Suryadip Chakraborty, D. Agrawal","doi":"10.1109/ANTS.2014.7057271","DOIUrl":"https://doi.org/10.1109/ANTS.2014.7057271","url":null,"abstract":"In recent years, more and more biological sensors are being connected wirelessly. This makes them much more versatile and allows a greater degree of mobility to the wearer. However, there are downsides to the move to wireless. In wireless body area sensor network (WBASNs), power consumption and storage limitations are major obstacles that need to be addressed. Increasing capacity often means increasing weight and cost, especially when batteries are concerned. Therefore, it is important to minimize the power and storage requirements as much as possible. One approach to this is through aggregation. By having sensors report their data to a cluster head (CH), their information can be combined and volume of transmitted data reduced. Less data means more information can be stored before that data needs to be offloaded. In addition less data means fewer packets need to be sent increasing the life of the sensor. Polynomial regression can be used to create a formula that approximates this information. This paper assesses the effectiveness of this type of regression as applied to biological data of patients. This is done first by measuring the degree of compression (compression ratio). Then we evaluate the accuracy of the polynomial (correlation coefficient) for different types of patients' data. Lastly it compares these results to existing models in order to assess its effectiveness as an aggregation technique.","PeriodicalId":333503,"journal":{"name":"2014 IEEE International Conference on Advanced Networks and Telecommuncations Systems (ANTS)","volume":"43 9-10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132434373","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":"Cognitive correlation of source-destination pair in a video conference network using call attributes","authors":"S. Goswami, S. Misra, Saurabh Jain","doi":"10.1109/ANTS.2014.7057274","DOIUrl":"https://doi.org/10.1109/ANTS.2014.7057274","url":null,"abstract":"The paper proposes cognitive learning technique for predicting the destination in a video conference being held over an organizational network. The dataset comprised of 22801 connectivity records of video conferences held during the year 2010-2013. Naive Bayes, k-NN and decision tree were trained on the dataset and the performance of the learning algorithms were evaluated. The destination has been predicted with an accuracy of 58.8% over the entire dataset and with 60.1% accuracy over a subset of the dataset. The results indicated deviation from machine learning trends and some of the reasons for deviations have been analyzed and presented while a few had been left out as research problem. There is scope for application of the presented learning technique in the areas of network anomaly detection, network visualization and connectivity prediction.","PeriodicalId":333503,"journal":{"name":"2014 IEEE International Conference on Advanced Networks and Telecommuncations Systems (ANTS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116361921","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. K. Dalela, Saurabh Basu, S. Majumdar, Arun Yadav, Arpit Singh, Nidhi Nagpal, V. Tyagi
{"title":"Geo-intelligence based terrain-aware mobile backhaul planning for rural India","authors":"P. K. Dalela, Saurabh Basu, S. Majumdar, Arun Yadav, Arpit Singh, Nidhi Nagpal, V. Tyagi","doi":"10.1109/ANTS.2014.7057264","DOIUrl":"https://doi.org/10.1109/ANTS.2014.7057264","url":null,"abstract":"This paper proposes ITU-T fiber based technology specific mobile backhaul planning for rural India. More than 70% mobile towers of India are installed in rural areas. However, rural India lacks basic infrastructure e.g. connecting roads, electricity and mobile backhaul bandwidth to provide broadband services. In order to take the advantage of growing mobile technologies to address the digital divide of rural India, it is essential to provide adequate backhaul connectivity. Fiber based technologies have merits to address this demand. Technological planning of fiber based technology requires accurate digital mapping of existing, new fiber and components on GIS. The selection of appropriate technology for Cost, Coverage, Capacity, QoS and Security aspects for rural areas are of prime concern. The present research focuses on region specific technology selection with existing infrastructure considering diversity of India e.g. difficult hilly terrain in North East, Himachal, Uttrakhand, deserts in Rajasthan, costal region and ghat areas in Western India. The limited budget and bandwidth requirement of rural India, suggests tree based Passive Optic Network (PON) as the suitable technology. A case study for this approach in hilly, coastal and desert area has been carried out in the presented paper.","PeriodicalId":333503,"journal":{"name":"2014 IEEE International Conference on Advanced Networks and Telecommuncations Systems (ANTS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126507032","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}
A. Malik, Thomas Neel, O. Turkcu, S. Hand, S. Melle
{"title":"Photonic integration — Path towards energy efficient optical transport networks","authors":"A. Malik, Thomas Neel, O. Turkcu, S. Hand, S. Melle","doi":"10.1109/ANTS.2014.7057236","DOIUrl":"https://doi.org/10.1109/ANTS.2014.7057236","url":null,"abstract":"This paper describes the evolution of photonic integration technology towards energy efficient optical transport networks. This paper evaluates the impact of Photonic Integration technology on optical transport network design and shows that the Photonic Integration technology not only makes the network energy efficient but also reduces the TCO (total cost of ownership) and simplifies the network design. A real world network model is utilized to quantify and compare results.","PeriodicalId":333503,"journal":{"name":"2014 IEEE International Conference on Advanced Networks and Telecommuncations Systems (ANTS)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126526712","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":"Exploiting multiple antenna cognitive radio system for cooperative spectrum sharing","authors":"A. Vashistha, Shubha Sharma, V. Bohara","doi":"10.1109/ANTS.2014.7057258","DOIUrl":"https://doi.org/10.1109/ANTS.2014.7057258","url":null,"abstract":"This paper proposes a cooperative spectrum sharing scheme in which multiple antennas of a secondary (aka cognitive) system is exploited to nullify the interference from the primary (aka licensed) to secondary system and vice versa. The secondary system also acts as a \"decode-and-forward\" relay for the primary system thus boosting its performance. The performance of primary and secondary system is analyzed by obtaining the closed form expressions for outage probability. The simulation results are also shown to validate the theoretical expressions obtained in this paper.","PeriodicalId":333503,"journal":{"name":"2014 IEEE International Conference on Advanced Networks and Telecommuncations Systems (ANTS)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128471747","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":"Dynamic and adaptive data caching mechanism for virtualization within sensor-cloud","authors":"Subarna Chatterjee, S. Misra","doi":"10.1109/ANTS.2014.7057243","DOIUrl":"https://doi.org/10.1109/ANTS.2014.7057243","url":null,"abstract":"This work proposes a dynamic, and adaptive caching mechanism for efficient virtualization in sensor-cloud - one of the first attempts in this direction. The work introduces both internal and external caching techniques to ensure efficiency in resource utilization of the underlying physical network. Conventional data transmission techniques involve periodic packet transmissions to the cloud-end. However, the rate of change of the physical environment may not be reasonably significant, thereby leading to redundant packet transmissions and inefficient utilization of network resources. The proposed caching mechanism is flexible with the varied rate of change of the physical environment. Results show that compared to the existing techniques, caching appreciably conserves network resources in terms of energy consumption and network lifetime, by 37.1%, and 48.43%, respectively. Experimental results also depict that using caching techniques, the data provisioned to the end-users through sensor-cloud are atleast 85.91% recent.","PeriodicalId":333503,"journal":{"name":"2014 IEEE International Conference on Advanced Networks and Telecommuncations Systems (ANTS)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115039542","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":"Limits on detecting eavesdropper in QKD protocols","authors":"P. Subramaniam, Abhishek Parakh","doi":"10.1109/ANTS.2014.7057239","DOIUrl":"https://doi.org/10.1109/ANTS.2014.7057239","url":null,"abstract":"Quantum key distribution (QKD) protocols form a natural choice for encryption in optical networks. All the QKD protocols use errors caused due to random measurements by Eve to detect her presence. In this paper, we present a fundamental limitation of using such bases to detect an eavesdropper in two QKD protocols - the BB84 and the new quantum Diffie-Hellman key exchange protocol. It is shown that the eavesdropper will go undetected in each exchange in both the protocols at least half the time.","PeriodicalId":333503,"journal":{"name":"2014 IEEE International Conference on Advanced Networks and Telecommuncations Systems (ANTS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127868015","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}