SAFM: An Adaptive Socially Aware Feedback Mechanism in Delay Tolerant Sensor Networks
In Delay Tolerant Sensor Networks (DTSN), it is a challenge to ensure the delivery reliability, due to the lack of end-to-end path, intermittent connection, and high latency. In addition, the resource utilization is decreased because of the limited resources and a large number of redundant copies. T...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-10-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/971704 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832547912058404864 |
|---|---|
| author | Yan Liu Kun Wang Guo Huang Jin Qi Yanfei Sun |
| author_facet | Yan Liu Kun Wang Guo Huang Jin Qi Yanfei Sun |
| author_sort | Yan Liu |
| collection | DOAJ |
| description | In Delay Tolerant Sensor Networks (DTSN), it is a challenge to ensure the delivery reliability, due to the lack of end-to-end path, intermittent connection, and high latency. In addition, the resource utilization is decreased because of the limited resources and a large number of redundant copies. To this end, this paper proposes an adaptive Socially Aware Feedback Mechanism (SAFM). In this mechanism, the historical information of the encountered nodes is utilized to construct social links which indicates the level of social relationship between nodes. In the feedback process, acknowledgements are forwarded to the nodes whose social link (SL) is higher than a given threshold α . After getting the acknowledgements, nodes will delete the copies of messages which have been received by the destination nodes, so as to reduce the redundancy. This mechanism is to reach a tradeoff between overhead and delivery efficiency. In simulation, the threshold α is obtained to reach the best performance of SAFM. Compared with active and passive receipt approaches in an acceptable range of delay, SAFM improves the delivery probability, decreases the buffer occupancy, and reduces the overhead. |
| format | Article |
| id | doaj-art-4c428e50b4bd45eca8e5929233c122ce |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2015-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-4c428e50b4bd45eca8e5929233c122ce2025-02-03T06:42:54ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-10-011110.1155/2015/971704971704SAFM: An Adaptive Socially Aware Feedback Mechanism in Delay Tolerant Sensor NetworksYan Liu0Kun Wang1Guo Huang2Jin Qi3Yanfei Sun4 College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 210009, China Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, ChinaIn Delay Tolerant Sensor Networks (DTSN), it is a challenge to ensure the delivery reliability, due to the lack of end-to-end path, intermittent connection, and high latency. In addition, the resource utilization is decreased because of the limited resources and a large number of redundant copies. To this end, this paper proposes an adaptive Socially Aware Feedback Mechanism (SAFM). In this mechanism, the historical information of the encountered nodes is utilized to construct social links which indicates the level of social relationship between nodes. In the feedback process, acknowledgements are forwarded to the nodes whose social link (SL) is higher than a given threshold α . After getting the acknowledgements, nodes will delete the copies of messages which have been received by the destination nodes, so as to reduce the redundancy. This mechanism is to reach a tradeoff between overhead and delivery efficiency. In simulation, the threshold α is obtained to reach the best performance of SAFM. Compared with active and passive receipt approaches in an acceptable range of delay, SAFM improves the delivery probability, decreases the buffer occupancy, and reduces the overhead.https://doi.org/10.1155/2015/971704 |
| spellingShingle | Yan Liu Kun Wang Guo Huang Jin Qi Yanfei Sun SAFM: An Adaptive Socially Aware Feedback Mechanism in Delay Tolerant Sensor Networks International Journal of Distributed Sensor Networks |
| title | SAFM: An Adaptive Socially Aware Feedback Mechanism in Delay Tolerant Sensor Networks |
| title_full | SAFM: An Adaptive Socially Aware Feedback Mechanism in Delay Tolerant Sensor Networks |
| title_fullStr | SAFM: An Adaptive Socially Aware Feedback Mechanism in Delay Tolerant Sensor Networks |
| title_full_unstemmed | SAFM: An Adaptive Socially Aware Feedback Mechanism in Delay Tolerant Sensor Networks |
| title_short | SAFM: An Adaptive Socially Aware Feedback Mechanism in Delay Tolerant Sensor Networks |
| title_sort | safm an adaptive socially aware feedback mechanism in delay tolerant sensor networks |
| url | https://doi.org/10.1155/2015/971704 |
| work_keys_str_mv | AT yanliu safmanadaptivesociallyawarefeedbackmechanismindelaytolerantsensornetworks AT kunwang safmanadaptivesociallyawarefeedbackmechanismindelaytolerantsensornetworks AT guohuang safmanadaptivesociallyawarefeedbackmechanismindelaytolerantsensornetworks AT jinqi safmanadaptivesociallyawarefeedbackmechanismindelaytolerantsensornetworks AT yanfeisun safmanadaptivesociallyawarefeedbackmechanismindelaytolerantsensornetworks |