A framework and mathematical modeling for the vehicular delay tolerant network routing
- Nasir, Mostofa, Noor, Rafidah, Iftikhar, Mohsin, Imran, Muhammad, Abdul Wahab, Ainuddin, Jabbarpour, Mohammad, Khokhar, R.
- Authors: Nasir, Mostofa , Noor, Rafidah , Iftikhar, Mohsin , Imran, Muhammad , Abdul Wahab, Ainuddin , Jabbarpour, Mohammad , Khokhar, R.
- Date: 2016
- Type: Text , Journal article
- Relation: Mobile Information Systems Vol. 2016, no. (2016), p.
- Full Text:
- Reviewed:
- Description: Vehicular ad hoc networks (VANETs) are getting growing interest as they are expected to play crucial role in making safer, smarter, and more efficient transportation networks. Due to unique characteristics such as sparse topology and intermittent connectivity, Delay Tolerant Network (DTN) routing in VANET becomes an inherent choice and is challenging. However, most of the existing DTN protocols do not accurately discover potential neighbors and, hence, appropriate intermediate nodes for packet transmission. Moreover, these protocols cause unnecessary overhead due to excessive beacon messages. To cope with these challenges, this paper presents a novel framework and an Adaptive Geographical DTN Routing (AGDR) for vehicular DTNs. AGDR exploits node position, current direction, speed, and the predicted direction to carefully select an appropriate intermediate node. Direction indicator light is employed to accurately predict the vehicle future direction so that the forwarding node can relay packets to the desired destination. Simulation experiments confirm the performance supremacy of AGDR compared to contemporary schemes in terms of packet delivery ratio, overhead, and end-to-end delay. Simulation results demonstrate that AGDR improves the packet delivery ratio (5-7%), reduces the overhead (1-5%), and decreases the delay (up to 0.02 ms). Therefore, AGDR improves route stability by reducing the frequency of route failures. © 2016 Mostofa Kamal Nasir et al.
- Authors: Nasir, Mostofa , Noor, Rafidah , Iftikhar, Mohsin , Imran, Muhammad , Abdul Wahab, Ainuddin , Jabbarpour, Mohammad , Khokhar, R.
- Date: 2016
- Type: Text , Journal article
- Relation: Mobile Information Systems Vol. 2016, no. (2016), p.
- Full Text:
- Reviewed:
- Description: Vehicular ad hoc networks (VANETs) are getting growing interest as they are expected to play crucial role in making safer, smarter, and more efficient transportation networks. Due to unique characteristics such as sparse topology and intermittent connectivity, Delay Tolerant Network (DTN) routing in VANET becomes an inherent choice and is challenging. However, most of the existing DTN protocols do not accurately discover potential neighbors and, hence, appropriate intermediate nodes for packet transmission. Moreover, these protocols cause unnecessary overhead due to excessive beacon messages. To cope with these challenges, this paper presents a novel framework and an Adaptive Geographical DTN Routing (AGDR) for vehicular DTNs. AGDR exploits node position, current direction, speed, and the predicted direction to carefully select an appropriate intermediate node. Direction indicator light is employed to accurately predict the vehicle future direction so that the forwarding node can relay packets to the desired destination. Simulation experiments confirm the performance supremacy of AGDR compared to contemporary schemes in terms of packet delivery ratio, overhead, and end-to-end delay. Simulation results demonstrate that AGDR improves the packet delivery ratio (5-7%), reduces the overhead (1-5%), and decreases the delay (up to 0.02 ms). Therefore, AGDR improves route stability by reducing the frequency of route failures. © 2016 Mostofa Kamal Nasir et al.
Automatic gender detection based on characteristics of vocal folds for mobile healthcare system
- Alhussein, Musaed, Ali, Zulfiqar, Imran, Muhammad, Abdul, Wadood
- Authors: Alhussein, Musaed , Ali, Zulfiqar , Imran, Muhammad , Abdul, Wadood
- Date: 2016
- Type: Text , Journal article
- Relation: Mobile Information Systems Vol. 2016, no. (2016), p.
- Full Text:
- Reviewed:
- Description: An automatic gender detection may be useful in some cases of a mobile healthcare system. For example, there are some pathologies, such as vocal fold cyst, which mainly occur in female patients. If there is an automatic method for gender detection embedded into the system, it is easy for a healthcare professional to assess and prescribe appropriate medication to the patient. In human voice production system, contribution of the vocal folds is very vital. The length of the vocal folds is gender dependent; a male speaker has longer vocal folds than a female speaker. Due to longer vocal folds, the voice of a male becomes heavy and, therefore, contains more voice intensity. Based on this idea, a new type of time domain acoustic feature for automatic gender detection system is proposed in this paper. The proposed feature measures the voice intensity by calculating the area under the modified voice contour to make the differentiation between males and females. Two different databases are used to show that the proposed feature is independent of text, spoken language, dialect region, recording system, and environment. The obtained results for clean and noisy speech are 98.27% and 96.55%, respectively. © 2016 Musaed Alhussein et al.
- Authors: Alhussein, Musaed , Ali, Zulfiqar , Imran, Muhammad , Abdul, Wadood
- Date: 2016
- Type: Text , Journal article
- Relation: Mobile Information Systems Vol. 2016, no. (2016), p.
- Full Text:
- Reviewed:
- Description: An automatic gender detection may be useful in some cases of a mobile healthcare system. For example, there are some pathologies, such as vocal fold cyst, which mainly occur in female patients. If there is an automatic method for gender detection embedded into the system, it is easy for a healthcare professional to assess and prescribe appropriate medication to the patient. In human voice production system, contribution of the vocal folds is very vital. The length of the vocal folds is gender dependent; a male speaker has longer vocal folds than a female speaker. Due to longer vocal folds, the voice of a male becomes heavy and, therefore, contains more voice intensity. Based on this idea, a new type of time domain acoustic feature for automatic gender detection system is proposed in this paper. The proposed feature measures the voice intensity by calculating the area under the modified voice contour to make the differentiation between males and females. Two different databases are used to show that the proposed feature is independent of text, spoken language, dialect region, recording system, and environment. The obtained results for clean and noisy speech are 98.27% and 96.55%, respectively. © 2016 Musaed Alhussein et al.
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