{"title":"Achieving efficiency in autonomic network management of IP networks based on SDN management logic","authors":"M. B. Lehocine, M. Batouche","doi":"10.1504/IJCNDS.2018.10013190","DOIUrl":"https://doi.org/10.1504/IJCNDS.2018.10013190","url":null,"abstract":"The layer-three redundancy in large companies' IP networks remains a major concern, aiming to increase, as much as possible, the availability ratio for the offered services to the customers. However, deploying the existing protocols requires in addition to providing backup links and physical equipment, the manual configuration which is time-consuming and error-prone. Autonomic router redundancy controller (ARRC) was the first autonomic solution whose objective was to deploy redundancy on existing networks. Yet, this solution was unable to handle redundancy in all network scenarios. In this paper, we propose a new approach extended ARRC (E-ARRC), inspired from software defined networking (SDN) management logic to address ARRC shortcomings and limitations. SDN represents a new vision for the future networks, aiming to reduce complexity and to ensure an efficient control of the network behaviour. Based on a global view of the network, SDN achieves business needs via a high-level specification of rules which are applied accordingly on the SDN capable nodes. The results of our approach, which is based on shared-networks reachability, illustrate a more granular level of redundancy, with a reliable exploitation of all the available resources.","PeriodicalId":209177,"journal":{"name":"Int. J. Commun. Networks Distributed Syst.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132996798","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":"Web user interface based on OGC standards for sensor cloud using big data","authors":"Vijayasherly Velayutham, Srimathi Chandrasekaran, Subaji Mohan","doi":"10.1504/IJCNDS.2018.10013186","DOIUrl":"https://doi.org/10.1504/IJCNDS.2018.10013186","url":null,"abstract":"Sensor cloud is the combination of wireless sensor networks and Cloud computing which performs real-time data acquisition and processing in a distributed environment. The infrastructure enables collection, processing, sharing, visualisation, archival and searching of large amounts of sensor data. It makes it possible for sharing computing resources and data, on an unprecedented scale, among an infinite number of geographically distributed groups. The paper provides an implementation of efficient web based technology for processing large, heterogeneous set of data based on Open Geospatial Consortium Standards. The proposed interface uses the sensor cloud middleware and wireless sensors for distributed applications that process large amounts of data. Sensor cloud middleware in the proposed work uses Open Stack and Hadoop framework along with utilities like generic modelling environment, HBase and Zabbix. The user interface with features such as viewing sensor data, scheduling sensors for data collection and alerting users have also been discussed.","PeriodicalId":209177,"journal":{"name":"Int. J. Commun. Networks Distributed Syst.","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124497016","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":"Resource prediction-based routing using agents in mobile ad hoc networks","authors":"S. Chaudhari, R. Biradar","doi":"10.1504/IJCNDS.2018.10013189","DOIUrl":"https://doi.org/10.1504/IJCNDS.2018.10013189","url":null,"abstract":"QoS outing in multimedia applications over MANET is affected by limited resources, shared channel, unpredictable mobility, improper load balancing, and variation in signal strength. Existing works on MANET QoS routing focuses on only one of the factor such as bandwidth, mobility or energy neglecting dependent behaviour. In this paper, resource prediction-based routing is proposed wherein intelligent agents identify routes for communication with adequate future availability of buffer-space, energy and bandwidth resources considering mobile nodes. It has four steps of execution: resource prediction, resource prediction factor computation, route establishment, and route maintenance. Resources are predicted to compute resource prediction factors for reliable route establishment and route maintenance against link and node failure. Simulation results show an improvement in terms of packet delivery ratio, packet delivery latency, memory overhead and energy consumption.","PeriodicalId":209177,"journal":{"name":"Int. J. Commun. Networks Distributed Syst.","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122977916","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":"Energy efficient QoS routing for mobile ad hoc networks","authors":"R. Saravanan","doi":"10.1504/IJCNDS.2018.10010693","DOIUrl":"https://doi.org/10.1504/IJCNDS.2018.10010693","url":null,"abstract":"Many researchers developed several routing techniques to reduce the power consumption of the nodes without decreasing capacity of the network, to increase life time of the network while preserving the connectivity of nodes. A routing protocol is presented in this paper that reduces overall energy consumption of nodes in the mobile ad hoc networks. This routing protocol focuses on energy conservation and also it provides some of the necessary quality of services in routing such as throughput, packet delivery ratio and less error rate. This routing protocol utilises the bandwidth of the network effectively and finds the minimum energy consuming path that has less error rate. Recharging capability of the nodes is taken into consideration while computing minimal energy consuming path from source to destination. The protocol is simulated for various network parameters using a network simulator. The performance of proposed protocol is evaluated by comparing the simulation results with the results of one of the popular routing protocols such as DSR.","PeriodicalId":209177,"journal":{"name":"Int. J. Commun. Networks Distributed Syst.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121477571","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":"Energy conservation routing algorithm for wireless sensor networks using hybrid optimisation approach","authors":"R. Logambigai, A. Kannan","doi":"10.1504/IJCNDS.2018.10010692","DOIUrl":"https://doi.org/10.1504/IJCNDS.2018.10010692","url":null,"abstract":"In designing wireless sensor network (WSN), the conversation of energy is an important issue to prolong the network lifetime. Most of the energy is wasted during transmission. To overcome this, an energy efficient routing protocol is proposed in this paper using a hybrid optimisation technique. Moreover, a nature inspired hybrid optimisation approach called bacterial swarm optimisation (BSO) is used in this work for energy optimisation in WSN. BSO is an amalgam of two optimisation techniques namely particle swarm optimisation (PSO) and bacterial foraging optimisation (BFO). BSO is used to identify the optimal next hop node for each gateway which in turn results in optimal route. The optimal relay nodes are selected based on lifetime of the gateways and distance in hops between gateways and base station. The results obtained from the simulation show that this proposed BSO based algorithm outperforms the other existing algorithm for routing.","PeriodicalId":209177,"journal":{"name":"Int. J. Commun. Networks Distributed Syst.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130796189","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 robust deterministic approach to node localisation using NLOS signal","authors":"Kaushik Mondal, P. Mandal, B. Sinha","doi":"10.1504/IJCNDS.2018.10010685","DOIUrl":"https://doi.org/10.1504/IJCNDS.2018.10010685","url":null,"abstract":"Localisation in an urban area is a challenging problem due to the blocking of line-of-sight (LOS) paths and the multipath effect arising out of reflection, scattering and diffraction of signals. We propose a technique to localise sensor nodes based on receiving reflected signals transmitted by anchor nodes. This method can calculate the position of a node by receiving non-line-of-sight (NLOS) signals in presence of range measurement error with better accuracy compared to existing works. We, however, assume that a signal is reflected at most once before reaching a node. While a network is growing, wrong position information may get assigned to some nodes by accident. According to our robust localisation in NLOS, an anchor can detect inconsistency of the wrong position information with the help of three reply signals from a particular node via different paths.","PeriodicalId":209177,"journal":{"name":"Int. J. Commun. Networks Distributed Syst.","volume":"63 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132637970","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":"Performance analysis of WMNs by WMN-GA simulation system for two WMN architectures and different TCP congestion-avoidance algorithms and client distributions","authors":"Keita Matsuo, Shinji Sakamoto, Tetsuya Oda, Admir Barolli, Makoto Ikeda, L. Barolli","doi":"10.1504/IJCNDS.2018.10010703","DOIUrl":"https://doi.org/10.1504/IJCNDS.2018.10010703","url":null,"abstract":"In this paper, we evaluate the performance of two wireless mesh networks (WMNs) architectures considering packet delivery ratio (PDR), throughput, delay and fairness index metrics. For simulations, we used ns-3, distributed coordination function (DCF) and optimised link state routing (OLSR). We compare the performance of transmission control protocol (TCP) Tahoe, Reno and NewReno for normal and uniform distributions of mesh clients by sending multiple constant bit rate (CBR) flows in the network. The simulation results show that the PDR for both distributions and architectures is almost the same, but the PDR of I/B WMN for uniform distribution is a little bit higher than normal distribution. For both WMN architectures, the throughput of normal distribution is better than uniform distribution. The delay of Tahoe is a little bit lower compared with other algorithms for normal distribution and Hybrid WMN, but in case of uniform distribution, the NewReno performs better than other algorithms for both architectures. The fairness index of normal distribution is higher than uniform distribution.","PeriodicalId":209177,"journal":{"name":"Int. J. Commun. Networks Distributed Syst.","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132157889","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":"Routing selection in mobile ad hoc network using soft computing approaches","authors":"Hany Ramadan, B. S. Tawfik, A. Riad","doi":"10.1504/IJCNDS.2018.10010691","DOIUrl":"https://doi.org/10.1504/IJCNDS.2018.10010691","url":null,"abstract":"Routing in the mobile ad hoc network (MANET) is a challenging task and has received a great amount of attention from researchers. This paper introduces an exact reference routing model to find the shortest path (optimum route). This model is a conventional combinatorial that selects the shortest route from all possible routes. To demonstrate the use of this reference model for comparison a second model is selected which is a modified ant colony optimisation (ACO). The good selection of the heuristic parameters of the ACO model increases its matching degree with the reference one. Therefore, a training pre-processing phase is added to select the best parameters for ACO model. The two models are compared using four different criteria. These criteria are the execution time, energy consumption, the total cost, and the network lifetime. A simulation experiment is performed, and the results show that the modified ant colony algorithm is superior in execution time but consumed more energy than the reference combinatorial and its total cost is greater than or equal to the other one. The lifetime analysis shows that the reference model has better lifetime than the modified ACO model.","PeriodicalId":209177,"journal":{"name":"Int. J. Commun. Networks Distributed Syst.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127836060","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 task allocation model for minimising system cost and maximising reliability of distributed computing system","authors":"H. Kumar, N. Chauhan, P. Yadav","doi":"10.1504/IJCNDS.2018.10010386","DOIUrl":"https://doi.org/10.1504/IJCNDS.2018.10010386","url":null,"abstract":"A distributing computing system (DCS) presents a platform consisting of multiple computing nodes connected in some fashion to which various task of a parallel application could be assigned. Effective task allocation is an essential phase to obtain the optimal cost and reliability of DCS. This paper addressed a new heuristic model of allocating the tasks onto multiple processors in order to achieve optimal cost and optimal reliability of the system. Costs have been taken as fuzzy numbers, which are more realistic and general in nature. Fuzzy program is transformed into crisp one by using the method of defuzzification. A membership function is developed to transform the communication cost in unit interval [0, 1]. Clusters of tasks have been built on the basis of their membership values. To present the effect of the proposed model, it has been implemented on various numerical examples and compared with other existing method related to this field.","PeriodicalId":209177,"journal":{"name":"Int. J. Commun. Networks Distributed Syst.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134466008","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}
S. Bisoy, P. Pattnaik, Bibudhendu Pati, C. Panigrahi
{"title":"Design and analysis of a stable AQM controller for network congestion control","authors":"S. Bisoy, P. Pattnaik, Bibudhendu Pati, C. Panigrahi","doi":"10.1504/IJCNDS.2018.10010375","DOIUrl":"https://doi.org/10.1504/IJCNDS.2018.10010375","url":null,"abstract":"In this work, a stable active queue management (AQM) controller named SAQM is proposed to control the congestion in the network and improve the stability of the queue length at internet router. It is an integrated rate and queue-based AQM technique which is stable and robust under dynamic environment where a number of TCP connections, bottleneck bandwidth, round trip time (RTT), and target queue length keeps changing. The proposed AQM controller is implemented in NS2 network simulator. In this paper, the control theory is used for stability analysis of TCP/SAQM system and finally validated through MATLAB Simulink model. The simulation results show that the SAQM outperforms other existing AQM controllers in terms of achieving queue stability, less oscillatory with faster response and at the same time it responds quickly to traffic change.","PeriodicalId":209177,"journal":{"name":"Int. J. Commun. Networks Distributed Syst.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114334110","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}