International Journal of Internet Protocol Technology (7 papers in press)
A Proactive Spectrum Handoff Scheme with Efficient Spectrum Utilization for Cognitive Radio Ad hoc Networks
by Krishan Kumar, Arun Prakash, Ganesh Prasad Mishra, Rajeev Tripathi
Abstract: This paper proposes a proactive spectrum handoff scheme for Cognitive Radio (CR) ad hoc networks by exploiting the efficient utilization of the available wireless spectrum by CR. The novelty of this spectrum handoff scheme is that it is able to use the available free channels which are idle for one complete CR packet transmission as well as idle for less than one packet transmission. This has been done by channel scheduling and packet fragmentation to reduce unusable channels. In this scheme, spectrum sensing is done during packet transmission. The main contribution of the proposed spectrum handoff scheme is that it outperforms the existing proactive and reactive spectrum handoff schemes in terms of reduced CR average service time, improved throughput, and improved spectrum utilization under the different Primary User (PU) arrival rates. It is also analysed that the proposed spectrum handoff scheme is best suited scheme in heavy PU traffic arrival rates.
Keywords: Average service time; Channel scheduling; Cognitive radio adhoc networks; Efficient spectrum utilization; Packet fragmentation; Proactive; Spectrum handoff.
A SPARQL Query Processing System using Map-Phase-Multi-Join for Big Data in Clouds
by Ce-Kuen Shieh, Sheng-Wei Huang, Chia-Ho Yu, Ming-Fong Tsai
Abstract: Big Data refers to large data sets collect from various sources which are huge, complex and hard to be stored and analyzed by traditional data processing tools. The Linked Data is one of the approaches to deal with Big Data. These data sets can be integrated by using linked data approaches and therefore the users can access these data for useful information. These linked data are stored and processed in TripleStore. With the data growing in a rapid manner, the TripleStore requires more scalable and efficient techniques. The programming model MapReduce is the most representative of Cloud technology which aims to improve the scalability and efficiency of computing. There were several researches using cloud technologies to construct their TripleStore. The implementations of these approaches use a MapReduce algorithm to serve the SPARQL query and a distributed storage system like HDFS or HBase to store billions of data. However, these systems still exhibit unacceptable performance in processing complex SPARQL queries. Therefore, in this paper, we propose a Map-Phase-Multi Join algorithm for processing SPARQL queries. By using multi-join can reduce the job initialization time by avoiding iterative of MapReduce jobs. Furthermore, map-phase join can save bandwidth cost by preventing join-less data transferring among cluster. We also design a storage schema in HBase which enhances the performance of our join algorithm. Finally, we formulate a join-order rule which aims to reduce the input size of mappers and the number of join computations. The evaluation results show that our system defeats traditional join approaches in most simple queries and complex queries.
Keywords: Big Data; Linked Data; MapReduce; SPARQL; TripleStore; NoSQL.
Node Deployment for Wireless Sensor Networks based on Improved Multi-objective Evolutionary Algorithm
by Kaibin Wei
Abstract: Node deployment is a crucial issue for wireless sensor networks, and it significantly affects the performance of wireless sensor networks. In this paper, we proposed a novel Node deployment algorithm for wireless sensor networks via solving the multi-objective optimization problem. The aim of node deployment in WSN is to determine an optimal node arrangement satisfying two conditions: 1) Cover all targets in the sensing range and 2) Reduce the number of wireless sensors. The main innovation of this paper is to optimize multiple objectives, such as average energy consumption, average sensitivity area and network reliability. To solve the multi-objective optimization problem, we improve the MOEA/D method by 1) using the uniform design to generate aggregation coefficient vectors and 2) exploiting the simplified quadratic approximation to promote accuracy of the local search. Finally, simulation results demonstrate that the proposed algorithm outperforms other optimization methods for all optimization objectives.
Keywords: Node deployment; Wireless sensor networks; Intelligent optimization; Multi-objective optimization; Decision vector.
Vertical Handover Decision Algorithm in Heterogeneous Wireless Networks
by Wafa Benaatou
Abstract: With the recent progress in the area of cellular communication the issue of inter cells handover without dropping an on-going connection with the base station has arisen. In this paper, the focus is on the performance of vertical handover. Various proposed interconnection architectures for vertical handover in heterogeneous networks were studied. To achieve the aim the vertical handover process between different networks (WLAN, UMTS, WiMAX, LTE and LTE-A) was implemented and simulated. Two different algorithms to make the decision on when and to which network perform a handover were considered. In the first of them the decision is based on the received signal strength (RSS). In the second one a fuzzy logic system that uses RSS, bandwidth, battery power and packet loss as the input parameters is proposed. The simulation results show that the algorithm based on fuzzy logic leads to a reduction of the number of handovers and a minimization of the power consumption as compared to the first algorithm used here and the existing algorithms.
Keywords: Vertical handover; WLAN; WIMAX; UMTS; LTE; LTE-A; Received signal strength (RSS); Heterogeneous networks; Fuzzy logic; Simulation.
Study on Cooperative Emergency Medical Service System and Mobile App Development
by Pingjia Xie, Yuliang Tang, Le Xu
Abstract: Emergency medical treatment is an important component of public health, and its service quality is directly related to peoples health and safety. But in the traditional emergency medical service mode, the relevant departments are relatively isolated and dispersive, which results in vital information cant be shared in real time. This study argues the application architecture and framework of a new Cooperative Emergency Medical Service System (CEMSS). The system enables effective information communication among Emergency Command Center (ECC), ambulances and the hospital dispatching center, and makes doctors in the ambulances with experts of the hospital related departments work in synergy. The mobile app based on Android operating system is developed to promote convenience and flexibility. The proposed system can help doctors shorten the treatment time, improve the service quality and reduce the damage for patients.
Keywords: Cooperative Emergency Medical Service System; Session Initiation Protocol (SIP); Android.
Special Issue on: Novel Architectures and Approaches for Resolving Service Discovery, Communication and Integration Issues in the Internet of Things
Providing Efficient User Management for large-scale Enterprise by Achieving high Scalability over cloud
by Nalini Priya G, Arun Kumar Sangaiah, Aishwarya Thangavelu, Thusitha Murali, Balamurugan Balusamy
Abstract: Cloud computing is an emerging computing technology, almost used by all the big enterprises to store and access their private organizational data. It also helps to manage the complex work and to process in easy and secure manner. Access control models provide authorization and authentication to the users in pursuance of providing security over the data in the cloud. Many big enterprises suffer a scalability problem in storing the data of the employees and their related access data due to the exponentially increasing freshers randomly. These big enterprises prefer Role Based Access control (RBAC) model to manage the different roles in the management. A drastic problem called Role Explosion occurs in RBAC due to the random increase in the number of users and roles in an organization. In this paper we propose a variant data structure model for the Role Based Access Control model namely Scalable Bloom Filter-Role Based Access Control (SBF-RBAC) model. Our proposed model implements Scalable Bloom Filters for each role so that there could be a dynamic accommodation of users in the roles that reduce space complexity. This also helps in reducing the Role Explosion to a greater extent. We also merge the roles with the same access grant in order to avoid the overlapping of roles. Thus, the SBF-RBAC model could help a management to manage a number of employee records and their respected grants with much more efficiency and without any hindrance.
Keywords: Role Based Access Control; Scalable Bloom Filters; User’s scalability problem; Role Explosion; access control techniques.
Recent Advances in QoS Provisioning in Wireless Ad hoc Networks
by Prakash Srivastava, Rakesh Kumar
Abstract: With rapid increase in multimedia and other real time applications, incorporating Quality of Service (QoS) requirements like end to end delay, bandwidth, jitter and energy in MANET is necessary. MANET has some unique features such as self-organizing and easy deployment. It has great potential in many applications such as military and civil. Existing QoS aware routing protocols designed for wired networks cannot be directly applied to wireless ad hoc networks due to its dynamic topological scenario and error prone nature of these wireless links. Best-effort QoS routing protocols are needed to ensure optimum network operation in an unpredictable wireless environment. Besides, QoS routing also ensures that a network performance should not be degraded in the event of disruption of links, failure of mobile devices and short residual connectivity time. In this paper, comprehensive description of QoS routing along with its taxonomy is presented and different QoS routing proposals are analyzed in terms of its performance and limitations.
Keywords: MANET (Mobile Ad hoc Networks); QoS; Framework; Provisioning.