A Campus Community-based Mobility Model for Routing in Opportunistic Networks

2016 ◽  
Vol 10 (3) ◽  
Keyword(s):  
Mobility Model ◽  
Opportunistic Networks ◽  
Campus Community ◽  
Community Based

scholarly journals Routing Algorithm Based on Trajectory Prediction in Opportunistic Networks

Information ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 49 ◽  
Author(s):  
Peijun Zou ◽  
Ming Zhao ◽  
Jia Wu ◽  
Leilei Wang
Keyword(s):  
Network Topology ◽  
Dynamic Change ◽  
Routing Algorithm ◽  
Mobility Model ◽  
Opportunistic Networks ◽  
Link Quality ◽  
Delivery Ratio ◽  
Node Mobility ◽  
Trajectory Prediction ◽  
Routing Performance

Due to the dynamic change of the opportunistic network topology and the lack of stable information transmission paths between nodes, the traditional topology-based routing algorithm cannot achieve the desired routing performance. To address of this problem, this paper proposes a routing algorithm based on trajectory prediction (RATP). The routing protocol based on trajectory prediction can efficiently and quickly adapt to the network link quality instability and the dynamic changes of network topology. RATP algorithm constructs a node mobility model by analyzing the historical mobility characteristics of the nodes. According to the node prediction information, the metric value of the candidate node is calculated, and the node with the smaller metric value is selected as the data forwarding node, which can effectively reduce the packet loss rate and avoids excessive consumption. Simulation results show that compared with other algorithms, the proposed algorithm has higher data delivery ratio, and end-to-end data delay and routing overhead are significantly reduced.

The Contribution of Campus Recreational Sports Participation to Perceived Sense of Campus Community

2011 ◽  
Vol 35 (1) ◽  
pp. 24-34 ◽  
Author(s):  
Daniel J. Elkins ◽  
Scott A. Forrester ◽  
Amelia V. Noël-Elkins
Keyword(s):  
Sense Of Community ◽  
Sports Participation ◽  
Recreational Sports ◽  
Campus Community ◽  
Community Based ◽  
Dean Of Students ◽  
Social Lives ◽  
Sports Programs ◽  
On Line ◽  
Residential Experience

Out-of-class involvement provides students with opportunities for rich social lives which, according to Cheng (2004), are closely associated with sense of campus community. Based on Astin's (1984) Theory of Involvement, and Boyer's (1990) principles of community, the purpose of this study was to examine the degree to which involvement in campus recreational sports programs is associated with students' perceived sense of campus community. Three hundred and thirty respondents completed an on-line questionnaire which consisted of demographics and questions related to their out-of-class involvement in 14 areas as identified by the institutions' Dean of Students Office, and a 25-item sense of community scale developed by Cheng (2004). Exploratory factor analysis (EFA) was conducted to examine the underlying factor structure of the sense of community scale. The six factors extracted from the EFA served as independent variables in a multiple regression analysis used to predict student perceived sense of campus community using a sample of 125 participants in campus recreational sports. In addition, participation levels in campus recreational sports were used to measure differences in perceived sense of campus community based on involvement using a multivariate analysis of variance (MANOVA). Results suggest participation in campus recreational sports significantly predicted a sense of community within the diversity and acceptance factor. In addition, students who participated in campus recreational sports perceived a greater sense of campus community based on the residential experience factor when compared with those students who did not participate.

Survey on Node Mobility Model for Opportunistic Network

2011 ◽  
Vol 52-54 ◽  
pp. 1253-1257 ◽  
Author(s):  
Ming Xia Yang ◽  
Shuang Xia Han ◽  
Cai Yun Yang ◽  
Lu Zhang ◽  
Dong Fen Ye
Keyword(s):  
Wireless Sensor Networks ◽  
Ad Hoc ◽  
Mobility Model ◽  
Opportunistic Networks ◽  
Wireless Sensor ◽  
Node Mobility ◽  
Mobility Models ◽  
Opportunistic Network ◽  
Research Focus ◽  
Mobile Ad Hoc

Opportunistic networks is one of the newest hot research spots in wireless networks after mobile ad hoc net-works(MANET) and wireless sensor networks(WSN). Mobility model describes mobility manners of nodes. It has been widely used in research on wireless network. This paper firstly introduced, classifies, and compares the current familiar mobility models. Secondly, it classifies, and compares the current familiar mobility models. Next, it was discussed that current research focus on new mobility models, analysis of nodes mobility features, trace strategy, and evaluation of mobility model. Finally, this paper involved what calls for further study.

scholarly journals Community-based Mobility Model and Probabilistic ORBIT Mobility Model Implementations in OMNeT++

10.29007/4tv9 ◽  
2018 ◽  
Author(s):  
Vishnupriya Kuppusamy ◽  
Leonardo Sarmiento ◽  
Asanga Udugama ◽  
Anna Förster
Keyword(s):  
Real World ◽  
Human Mobility ◽  
Mobility Model ◽  
Mobility Models ◽  
Community Based ◽  
Opportunistic Networking

Simulations of Opportunistic Networking (OppNet) protocols require the use of suitable synthetic mobility models or real world traces. Many synthetic mobility models have been proposed based on the study of human mobility individually and in groups. Opportunistic Protocol Simulator (OPS) is a budding simulator which is based on OMNeT++ to simulate OppNets. However, compared to other OppNet simulators in the literature, only very few synthetic mobility models exist in OMNeT++ currently, restricting the simulation of OppNets to using the existing mobility models or traces. In this paper, we develop two more synthetic mobility models in OMNeT++ namely community-based mobility model and probabilistic ORBIT based mobility, which can enhance the simulating environment available for OppNets in OMNeT++.

scholarly journals Student Experiences With Community-Based Enforcement of a Smoke-Free University

2018 ◽  
Vol 20 (2) ◽  
pp. 188-195 ◽  
Author(s):  
Christopher M. Seitz ◽  
Thomas L. Ragsdale
Keyword(s):  
Undergraduate Students ◽  
Physical Violence ◽  
Student Experiences ◽  
Campus Community ◽  
Emotional Needs ◽  
Community Based ◽  
Group Settings ◽  
Smoking Policy ◽  
Smoke Free Policy ◽  
Verbal Insults

A common approach to enforcing a university smoke-free policy is through “community-based” enforcement, in which the entire campus community is responsible for asking smokers in violation to abide by the policy. The purpose of the study was to explore university students’ experiences with this strategy of enforcing a smoke-free policy. A total of 43 undergraduate students were interviewed regarding their experiences and opinions of community enforcement. The interviews were transcribed and analyzed using phenomenological methods, in which six major themes emerged from the data: Fear (alarm that smokers might respond with verbal insults or physical violence), Situational (enforcing the policy depended on violators’ distance, group settings, strangers vs. peers), Protect Image (not wanting to be viewed as annoying, judgmental, or offensive), Lack of Authority (feeling a lack of authority to enforce the smoking policy), Compassion (empathy that violators smoke due to physical/emotional needs), and Enforcer (willingness to confront a policy violator). These findings reflected previous studies regarding people’s fear to ask a smoker to extinguish a cigarette, feelings of a lack of authority, and so on. The study demonstrated that using only a community-based approach to enforcement may not be a realistic responsibility to impose on an entire campus community.

A Purpose-Driven User Mobility Model for Opportunistic Networks

2010 ◽  
Vol 171-172 ◽  
pp. 804-809
Author(s):  
Jian Bo Xu ◽  
Guang Yang
Keyword(s):  
Human Movement ◽  
Mobility Model ◽  
Opportunistic Networks ◽  
User Mobility ◽  
Node Mobility ◽  
Opportunistic Network ◽  
Data Forwarding ◽  
Challenging Tasks ◽  
Efficient Data ◽  
Two Sides

An opportunistic Network is a network consisting exclusively of users’ mobile devices, with mobility being one of its essential features. Under the circumstances that a path may never exist between the two sides of communication, an opportunistic network exploits node mobility to realize delayed data delivery by capturing the opportunities of node meeting to relay messages. Designing efficient data forwarding strategies is one of the most challenging tasks in opportunistic network research, while currently the validation of any protocol for data forwarding almost absolutely relies on simulations of which node mobility models are one of the fundamental components. In this paper, we suggest a purpose-driven user mobility model for opportunistic networks which, to our best knowledge, is the first work considering the factor of purposes behind users’ movement. On the basis of location functionalization, our model can gain a better approximation of human movement patterns.

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