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CAIDM: Context Aware Intelligent Driver Model
Sriram Sridharan,V. Shweta,Animesh Manglik
International Journal of Soft Computing , 2012, DOI: 10.3923/ijscomp.2012.113.119
Abstract: Researchers present a novel approach to incorporate context awareness into the existing Intelligent Driver Model (IDM). Specifically the proposed model would like to introduce new context aware parameters to make the car following model adapted with real life scenario. Researchers would like to concentrate on the environment conditions, driver condition and the type of vehicle. The effectiveness of proposed approach is validated using mathematical calculations and graphs. One of the main improvements that will be brought about by the new proposed system is the context aware parameter. Context awareness for a system is very important as it makes it more informed about the situation where it is being put to use and hence its actions/results are custom made for that particular situation making it very accurate and apt.
Energy Efficient Sleep Awake Aware (EESAA) Intelligent Sensor Network Routing Protocol  [PDF]
T. Shah,N. Javaid,T. N. Qureshi
Computer Science , 2012,
Abstract: Wireless Sensor Networks (WSNs), with growing applications in the environment which are not within human reach have been addressed tremendously in the recent past. For optimized working of network many routing algorithms have been proposed, mainly focusing energy efficiency, network lifetime, clustering processes. Considering homogeneity of network, we proposed Energy Efficient Sleep Awake Aware (EESAA) intelligent routing protocol for WSNs. In our proposed technique we evaluate and enhance certain issues like network stability, network lifetime and cluster head selection process. Utilizing the concept of characteristical pairing among sensor nodes energy utilization is optimized. Simulation results show that our proposed protocolnificantly improved the
An Architecture of Mobile Web 2.0 Context-aware Applications in Ubiquitous Web  [cached]
I-Ching Hsu
Journal of Software , 2011, DOI: 10.4304/jsw.6.4.705-715
Abstract: The rapid development of the wireless communication technologies, including wireless sensors, intelligent mobile devices, and communication protocols, has led to diverse mobile devices of accessing various context-aware systems. Existing context-aware systems only focus on characterize the situation of an entity to exhibit the advantage of contextual information association. The contextual information can represent semantic implications to provide decidable reasoning services, but it has no mechanism to facilitating the interoperability and reusability among heterogeneous context-aware systems and various mobile devices. This study addresses these issues developing a Multi-layer Context Framework (MCF) that integrates Web 2.0 technologies into context-aware system for supporting ubiquitous mobile environment. The proposed MCF includes context sensor layer, context information layer, context service layer, context representation layer, mobile device layer, and context-aware mobile Web 2.0 application layer. To demonstrate the feasibility of the infrastructure, a Mobile Web 2.0-based Context-aware Attendance Monitoring System (MWCAMS) is implemented with ZigBee devices to provide continuous and context-aware monitoring of employee attendance status.
Energy-aware System Design for Wireless Sensor Network

ZHAO Lei,ZHANG Wei-Hong,XU Chao-Nong,XU Yong-Jun,LI Xiao-Wei,

自动化学报 , 2006,
Abstract: Wireless sensor networks have already enabled numerous embedded wireless applications such as military, environmental monitoring, intelligent building, etc. Because micro-sensor nodes are supposed to operate for months or even years with very limited battery power source, it is a challenge for researchers to obtain long operating hour without scarifying original system performances. In this paper, the energy consumption sources of the wireless sensor networks are firstly analyzed, with the digital processing and radio transceiver units being emphasized. Then, we introduce the design scheme of our energy-aware wireless sensor network (GAINS). In GAINS, techniques to conserve the energy are exploited including the energy optimization node, software and energy-efficient communication protocol. The design architecture of our ultra low power wireless sensor network (WO-LPP) is specially presented.
Study on the Context-Aware Middleware for Ubiquitous Greenhouses Using Wireless Sensor Networks  [PDF]
Jeonghwang Hwang,Hyun Yoe
Sensors , 2011, DOI: 10.3390/s110504539
Abstract: Wireless Sensor Network (WSN) technology is one of the important technologies to implement the ubiquitous society, and it could increase productivity of agricultural and livestock products, and secure transparency of distribution channels if such a WSN technology were successfully applied to the agricultural sector. Middleware, which can connect WSN hardware, applications, and enterprise systems, is required to construct ubiquitous agriculture environment combining WSN technology with agricultural sector applications, but there have been insufficient studies in the field of WSN middleware in the agricultural environment, compared to other industries. This paper proposes a context-aware middleware to efficiently process data collected from ubiquitous greenhouses by applying WSN technology and used to implement combined services through organic connectivity of data. The proposed middleware abstracts heterogeneous sensor nodes to integrate different forms of data, and provides intelligent context-aware, event service, and filtering functions to maximize operability and scalability of the middleware. To evaluate the performance of the middleware, an integrated management system for ubiquitous greenhouses was implemented by applying the proposed middleware to an existing greenhouse, and it was tested by measuring the level of load through CPU usage and the response time for users’ requests when the system is working.
Energy-Aware Distributed Intelligent Data Gathering Algorithm in Wireless Sensor Networks  [PDF]
Rongbo Zhu,Yingying Qin,Jiangqing Wang
International Journal of Distributed Sensor Networks , 2011, DOI: 10.1155/2011/235724
Abstract: To plan the data collecting path for the mobile collector in wireless sensor network (WSN), an efficient energy-aware distributed intelligent data gathering algorithm (DIDGA) is proposed, which includes cluster formation and path formation phases. In cluster formation phase, an energy-efficient distributed clustering scheme is proposed to form a coverage-efficient WSN, which constructs a minimum connected dominating set (MCDS) based on maximal independent sets (MISs) in distributed and localized manner, and the node with more power is selected to be the cluster head in turn to prolong the network lifetime. In path formation phase, a path formation optimized algorithm (PFOA) is proposed to resolve the path formation NP problem with dynamic requirements. Then DIDGA uses the cluster head relay mechanism for planning the data gathering path. Compared with existed algorithms, detailed simulation results show that the proposed DIDGA can reduce average hop counts, average data gathering time, energy consumption, increase the efficiency of event detection ratio and prolong the network lifetime. 1. Introduction Recent advances in wireless communications and electronics have enabled the development of low-cost, low-power, multifunctional sensor nodes [1], which consist of sensed and data processing, and communicating components, leverage the idea of wireless sensor networks (WSNs) [1, 2]. Typical applications of WSNs are the unmanned environmental monitoring, military surveillance, unmanned health monitoring, target tracking, inventory management, multimedia transmitting, and so on [3, 4]. Considering that battery is the main source of energy for the sensor nodes, how to reduce the high-energy expenditure in multihop routing and extend WSN's lifetime is a major challenge [2, 4]. One important task of WSNs is to collect useful information from the sensory field [5]. For a large-scale, data centric sensor network, it is inefficient to use a single, static data sink to gather data from all sensors [6, 7]. In some applications, sensors are deployed to monitor separate areas. In each area, sensors are densely deployed and connected, while sensors that belong to different areas may be disconnected. Unlike fully connected networks, some sensors cannot forward data to the data sink via wireless links [8, 9]. In some complex terrain environment, especially in noise interference and mobile case, how to effectively gather data is a challenge task with limited power. In general, most data-gathering schemes aim to prolong lifetime of WSNs by saving power consumption and
Intelligent Wireless Sensor Network System to shrink Suspected Terror from Militants  [cached]
International Journal of Computer Network and Information Security , 2012,
Abstract: In current scenario, there are always impending threats from militants and terrorists within and out of a country. The sensor networks play a vital role in minimizing the loss of human lives in the event of usual calamity and artificial sabotage created by terrorists. The sensor networks can be successfully deployed in any difficult geographical terrains where manual round-the-clock surveillance is highly impossible. Energy aware routing is immensely helpful to sensor networks in the aspect of extending the life span of the WSNs. In this paper, an automatic suspected terror system based on wireless sensor networks is developed, which is designed for high-rise metro structure. In order to provide early extinguish of impending threats by putting any bomb, large numbers of detectors which periodically measure noise, smell, infringement, vibration, temperature concentration, unidentified stranger photo are deployed from major streets. Those scattered detectors report their monitoring information to the surveillance center via the self-organizing hierarchical intelligent wireless sensor networks (IWSN). Test results from it show that the automatic suspected terror system achieves the design requirements.
Context-aware Intelligent Mobile Service Based on Semantic Web Technologies

ZOU Wen-Ke,MENG Xiang-Wu,

计算机科学 , 2006,
Abstract: More and more people access Web through mobile devices, such as mobile phones and personal digital assis tants. In order to acquire rich and flexible mobile service, context information within which mobile users operate should be understood. Semantic Web is the evolution of the current Web, which enables computers to understand Web infor mation. Semantic Web and ontology technologies are the key requirement for realizing context sharing, semantic interoperation and context reasoning. Applying semantic Web technologies to context-aware intelligent mobile service was analyzed in this thesis. At first an overview of semantic Web and ontology technologies was introduced. Next why semantic Web technologies were applied in context-aware intelligent mobile service was described. Then context ontology architecture in context-aware mobile service was discussed, including common context ontology, user profile ontology, situation ontology and service ontology. At last some related research projects were listed and this document was summarized.
Approach to Model-Based Development of Context-Aware Application  [PDF]
Imen Jaouadi, Raoudha Ben Djemaa, Hanene Ben Abdallah
Journal of Computer and Communications (JCC) , 2015, DOI: 10.4236/jcc.2015.35027

In order to address challenges posed by advances in mobile computing, ubiquitous devices software engineering, wireless and sensor technologies in many applications running, this paper provides an approach that simplifies the design and the implementation of context-aware Interactive systems called CAISDA (Context-Aware Interactive System Development Approach). This approach is based on the analysis and synthesis of context-aware frameworks proposed in literature.

Study on Context-aware Technologies for Internet of Things

TONG En-dong,SHEN Qiang,LEI Jun,LIU Yu,TANG Hui,

计算机科学 , 2011,
Abstract: Unlike Internet which connects people all over the world,Internet of Things(IoT) is a net of things which connects the marked and intelligent entities by using various of wireless technologies.As technologies of information industry and wireless communication have developed,computing resources surround people.Context-aware systems emerge at this time.Context-aware systems deal with the pervasive contextual information captured by numbers of sensors and then provide users with the right services.IoT features its requirement of dealing with mass data.Due to these characteristics,the current technologies are nolonger working well.Inthis paper,we did a survey on the context-aware systems.Wemade definitions of context and context-aware,introduced the development and applications of context-aware technology,and then considering of IoT,we approached the flow or progress of context-aware system,including context collecting,context modeling and intelligent information processing.Finally,we analyzed the cruuenct context-aware architectures and made some improvements.
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