Vasuky Mohanan

Vertical Handover Scheme for Car-to-Car Communication Based on IEEE 802.21 Standard

Car-to-car communication starting to became important in the attempt to improve road safety. Not only it is able to reduce car accident rate, but also it is useful to minimize traffic jam. The communication media between the cars varied but the low cost solution is to use existing wireless networks such as 3G, Wi-Fi, WiMAX, etc. Car-to-car communication implementation over these existing heterogeneous wireless networks requires a fast and reliable handovers when one network becomes unavailable. This paper presents a study on applicability of using the IEEE 802.21 standard as the handover protocol to expedite vertical handover in a car-to-car communication. A fast and simple car-to-car communication handover scheme is proposed and analyzed to show the effectiveness and how it can be implemented further.

Holistic network selection for wireless mobile nodes in a 4G environment

Solving network selection problem (NSP) for next generation networks is very challenging. This is further compounded by the availability of myriad of choices for the user to choose from in terms of which network to connect to. Furthermore, in 4G environment, mobility scenarios are highly dynamic and current approaches tends to ignore this. Additionally, these solutions tend to focus on solving one aspect of the NSP. This paper proposes a holistic and dynamic network selection solution based on gray relational analysis (GRA) and Analytical Hierarchical Process (AHP). In order to correctly assess the context on which the network selection occurs, our method uses attributes collected from the three main stakeholders of a NSP mainly: user, mobile node and the candidate networks. Depending on the type attribute, the proposed method uses a combined method of mean value of past sessions as well as most recent value as means to collect the attribute value. This is so that past as well as current scenario is taken into consideration. Weights are assigned to these attributes indicating their relative importance. Previous approaches mostly uses quality of service requirements (QOS) of the executing application as a guide for indicating the weight. The proposed scheme not only uses QOS requirements but also combines user preference and mobile nodes mobility scenario into consideration in determining the weights. Finally, ranking of the candidate networks is done using GRA.

Powering the Internet of Things With 5G Networks

With the rise of mobile and wireless technologies, more sustainable networks are necessary to support such communications. These next generation networks can now be utilized to strengthen the growing era of the Internet of Things. Powering the Internet of Things With 5G Networks is a comprehensive reference source for the latest scholarly research on the progression and design of fifth generation networks and their role in supporting the Internet of Things. Including a range of perspectives on topics such as privacy and security, large scale monitoring, and scalable architectures, this book is ideally designed for technology developers, academics, researchers, and practitioners interested in the convergence of the Internet of Things and 5G networks.

Holistic network selection using dynamic weights to achieve personalized ABC

Network selection technique will be one of the deciding factors in determining the success of 4G network. This is because even though the 4G network technologies such as IEEE 802.16m and LTE-A is capable of providing 4G performance, the benefits that these technologies extol will not trickle down to the mobile nodes (MN) involved if the network selection method is inefficient. High speed MNs will be a feature of 4G networks as these networks are capable of supporting MNs that move at a speed of up to 250km/hr. Therefore, a network selection mechanism that takes into account MNs mobility scenario is absolutely necessary. Network communication environment that is heterogeneous, whereby MNs with multiple interfaces can connect to is also becoming the norm. This means network selection method that can provide personalized Always Best Connected (ABC) is vital in maximizing the potential of heterogeneous candidate networks (CN) in fulfilling users needs. This paper discusses how this can be attained using a network selection methodology that encompasses dynamic weights and detailed user requirement data collection.

Wireless Communication Technologies for Vehicular Nodes: A Survey

In many countries, road accidents are a leading cause of death as well as being financially draining to the authorities concerned. This problem can be alleviated by having a mechanism to enable exchange of safety related messages to road users in a timely manner. This has given rise to active research in identifying the best technology. Providing comfort and smooth driving experience is also propelling the need to support vehicular communication. These groups of applications present opposing paradigms whereby safety related messages must be exchanged in real-time and characterized by short bursts of traffic and satisfying these diverse criteria are challenging for wireless communications that is the backbone of vehicular communication. Additionally, vehicular nodes sometimes move at high speeds, presenting an added dimension to the complexities surrounding vehicular communication. This article attempts to show the many myriad wireless technologies that have been tossed about as the solution. Choosing the most suitable candidate has to take into account many aspects. This article guides stakeholders such as transport policy decision makers, vehicle makers, and spectrum allocator, to enable them to make a wise and informed decision regarding the right mechanism to use to support vehicular communication.

Linguistic Competency Model for Intentional Agent

The linguistic competency structure which has been modeled as Linguistic Competency Model (LCM) is a new and an extensive work of discourse analysis of an Intentional Intelligent Agent. This model is able to explain explicitly the role of linguistic competency in a discourse and incorporated the intention as an embodied entity into the cognitive process of discourse. This model managed to address the hermeneutical process grammar as instrument of linguistic competency skill in the social interactive structure of discourse. This LCM has established a discourse structure which can semantically interpret and hermeneutically analyze the psychological temporal semantic- pragmatic linkages and movement of discourse. The embedded structure of physical spatio-temporal contiguity of verbals or events linkages also can be systematically associated with psychological temporal semantic- pragmatic movement in this LCM. Therefore this LCM model will give a new insight into an understanding of the composition and the characteristic of a hermeneutic discourse especially to define the linguistic competency in it.

Logical operative processes of semantic grammar for machine interpretation

The purpose of this paper is to identify and reveal the significance of primary logical operative processes of semantic grammar of any languages for the establishment of machine interpretation. This neo generative mechanism for logical semantic representation for machine interpretation has been systematically analyzed by logical linguistic and mathematical postulations. These logical operative processes structurally provide a way in which grammatical properties of language can be treated within a framework of speech acts to accommodate and to ease the machine interpretation for ontological representation and cognitive act. This treatment also allows the sentences to be semantically interpreted and hermeneutically analyzed within the temporal movement of speech act for machine interpretation. The logical postulation of operative processes of grammar enables to provide an explanation of the grammatical intuitions of a native speaker of a language in terms of both a variety of cognitive operations and knowledge of distinct object categories to be applied in the machine interpretation.

Hermeneutic operative calculus

The predicate calculus used currently by mathematical logic in computer science, philosophy and linguistic was found to be too restrictive and inadequate for describing the grammar of natural and artificial language. Therefore many higher order logics have been developed to overcome the limitation of predicate calculus. In this paper a new representation of logic using mathematical principles has been developed for the natural language called Hermeneutic Operative Calculus. This Hermeneutic Operative Calculus is a new language interpretive calculus developed to account for the syntactic, semantic and pragmatic features of natural language and allows removing the restrictions of any particular natural language in the semantic field its map out. The logic of Hermeneutic Operative Calculus capable of represent the syntactic and semantic of factual information of a natural language precisely in any language. The logic of this Hermeneutic Operative Calculus has two different forms of operations called object a...