Delay Minimization for Data Dissemination in Large-Scale VANETs with Buses and Taxis

2016 ◽  
Vol 15 (8) ◽  
pp. 1939-1950 ◽  
Author(s):  
Jianping He ◽  
Lin Cai ◽  
Peng Cheng ◽  
Jianping Pan
2013 ◽  
Vol 5 (3) ◽  
pp. 34-54
Author(s):  
Shiow-Fen Hwang ◽  
Han-Huei Lin ◽  
Chyi-Ren Dow

In wireless sensor networks, due to limited energy, how to disseminate the event data in an energy-efficient way to allow sinks quickly querying and receiving the needed event data is a practical and important issue. Many studies about data dissemination have been proposed. However, most of them are not energy-efficient, especially in large-scale networks. Hence, in this paper the authors proposed an energy-efficient data dissemination scheme in large-scale wireless sensor networks. First, the authors design a data storage method which disseminates only a few amount event data by dividing the network into regions and levels, and thus reducing the energy consumption. Then, the authors develop an efficient sink query forwarding strategy by probability analysis so that a sink can query events easily according to its location to reduce the delay time of querying event data, as well as energy consumption. In addition, a simple and efficient maintenance mechanism is also provided. The simulation results show that the proposed scheme outperforms TTDD and LBDD in terms of the energy consumption and control overhead.


2014 ◽  
Vol 2014 (1) ◽  
pp. 300246
Author(s):  
Donald P. Smith

The task of capturing accurate information from the field and sharing it with response teams, incident commanders, command posts, regional offices, and internal/external agencies in a timely manner is a goal that has been difficult to achieve, especially on large-scale events. Growing fiscal constraints necessitate that solutions be part of a stable reusable system that is easily used by responders/inspectors, and also easily expanded when additional support and complexity become necessary. However, the various types of events/activities can be very challenging for both responders and inspectors. Government agencies are not always homogenous; their regional branches may collect different details on the same object, leading to incompatibilities between regional information. If the various agencies' engaged in data collection and dissemination does not standardize their efforts, then, information meltdown occurs. Ultimately, the data that were collected and disseminated become untrustworthy and unreliable. In some cases, this can compromise enforcement actions. Once information is collected, it also requires processing and distribution to different internal, external, non-profit, and private agencies. Recent mobile technologies that are available through smart phones and tablets offer solutions that allow quick customizations, scalability, and low-cost alternatives to data collection/dissemination. The concept of ‘Bring Your Own Device’ (BYOD) helps agencies to utilize existing equipment/infrastructure and to standardize policies and minimize training/software needs. These technologies can be utilized during all phases of Disaster Management – mitigation, preparedness, response, recovery, and day-to-day inspection activities. This shifting paradigm offers opportunities for all field-deployed personnel to share data in a near real-time environment. Over the past few decades, we have been actively involved in developing field inspection applications and establishing an infrastructure for Disaster Response/inspection programs that has allowed EPA to successfully manage field data collection. This poster intends to share these efforts and to demonstrate their effectiveness. The following is a list of issues that will be covered by the application of field automation: cost sharing, rapid application deployment, ease of training, Internet sharing, data quality, and data dissemination.


2005 ◽  
Vol 11 (1-2) ◽  
pp. 161-175 ◽  
Author(s):  
Haiyun Luo ◽  
Fan Ye ◽  
Jerry Cheng ◽  
Songwu Lu ◽  
Lixia Zhang

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