INDIGO: An In Situ Distributed Gossip Framework for Sensor Networks
With the onset of Cyber-Physical Systems (CPS), distributed algorithms on Wireless Sensor Networks (WSNs) have been receiving renewed attention. The distributed consensus problem is a well studied problem having a myriad of applications which can be accomplished using asynchronous distributed gossip...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-10-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/706083 |
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| _version_ | 1849698189130596352 |
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| author | Paritosh Ramanan Goutham Kamath Wen-Zhan Song |
| author_facet | Paritosh Ramanan Goutham Kamath Wen-Zhan Song |
| author_sort | Paritosh Ramanan |
| collection | DOAJ |
| description | With the onset of Cyber-Physical Systems (CPS), distributed algorithms on Wireless Sensor Networks (WSNs) have been receiving renewed attention. The distributed consensus problem is a well studied problem having a myriad of applications which can be accomplished using asynchronous distributed gossip algorithms on Wireless Sensor Networks (WSNs). However, a practical realization of gossip algorithms for WSNs is found lacking in the current state of the art. In this paper, we propose the design, development, and analysis of a novel in situ distributed gossip framework called INDIGO. A key aspect of INDIGO is its ability to perform on a generic system platform as well as on a hardware oriented testbed platform in a seamless manner allowing easy portability of existing algorithms. We evaluate the performance of INDIGO with respect to the distributed consensus problem as well as the distributed optimization problem. We also present a data driven analysis of the effect certain operating parameters like sleep time and wait time have on the performance of the framework and empirically attempt to determine a sweet spot . The results obtained from various experiments on INDIGO validate its efficacy, reliability, and robustness and demonstrate its utility as a framework for the evaluation and implementation of asynchronous distributed algorithms. |
| format | Article |
| id | doaj-art-9ed5cedb85cb40978b09e55247f3073a |
| institution | DOAJ |
| issn | 1550-1477 |
| language | English |
| publishDate | 2015-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-9ed5cedb85cb40978b09e55247f3073a2025-08-20T03:18:58ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-10-011110.1155/2015/706083706083INDIGO: An In Situ Distributed Gossip Framework for Sensor NetworksParitosh RamananGoutham KamathWen-Zhan SongWith the onset of Cyber-Physical Systems (CPS), distributed algorithms on Wireless Sensor Networks (WSNs) have been receiving renewed attention. The distributed consensus problem is a well studied problem having a myriad of applications which can be accomplished using asynchronous distributed gossip algorithms on Wireless Sensor Networks (WSNs). However, a practical realization of gossip algorithms for WSNs is found lacking in the current state of the art. In this paper, we propose the design, development, and analysis of a novel in situ distributed gossip framework called INDIGO. A key aspect of INDIGO is its ability to perform on a generic system platform as well as on a hardware oriented testbed platform in a seamless manner allowing easy portability of existing algorithms. We evaluate the performance of INDIGO with respect to the distributed consensus problem as well as the distributed optimization problem. We also present a data driven analysis of the effect certain operating parameters like sleep time and wait time have on the performance of the framework and empirically attempt to determine a sweet spot . The results obtained from various experiments on INDIGO validate its efficacy, reliability, and robustness and demonstrate its utility as a framework for the evaluation and implementation of asynchronous distributed algorithms.https://doi.org/10.1155/2015/706083 |
| spellingShingle | Paritosh Ramanan Goutham Kamath Wen-Zhan Song INDIGO: An In Situ Distributed Gossip Framework for Sensor Networks International Journal of Distributed Sensor Networks |
| title | INDIGO: An In Situ Distributed Gossip Framework for Sensor Networks |
| title_full | INDIGO: An In Situ Distributed Gossip Framework for Sensor Networks |
| title_fullStr | INDIGO: An In Situ Distributed Gossip Framework for Sensor Networks |
| title_full_unstemmed | INDIGO: An In Situ Distributed Gossip Framework for Sensor Networks |
| title_short | INDIGO: An In Situ Distributed Gossip Framework for Sensor Networks |
| title_sort | indigo an in situ distributed gossip framework for sensor networks |
| url | https://doi.org/10.1155/2015/706083 |
| work_keys_str_mv | AT paritoshramanan indigoaninsitudistributedgossipframeworkforsensornetworks AT gouthamkamath indigoaninsitudistributedgossipframeworkforsensornetworks AT wenzhansong indigoaninsitudistributedgossipframeworkforsensornetworks |