Energy-Efficient Relay-Selection-Based Dynamic Routing Algorithm for IoT-Oriented Software-Defined WSNs
In this article, a dynamic routing algorithm based on energy-efficient relay selection (RS), referred to as DRA-EERS, is proposed to adapt to the higher dynamics in time-varying software-defined wireless sensor networks (SDWSNs) for the Internet-of-Things (IoT) applications. First, the time-varying...
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| Veröffentlicht in: | IEEE internet of things journal Jg. 7; H. 9; S. 9050 - 9065 |
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01.09.2020
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| Abstract | In this article, a dynamic routing algorithm based on energy-efficient relay selection (RS), referred to as DRA-EERS, is proposed to adapt to the higher dynamics in time-varying software-defined wireless sensor networks (SDWSNs) for the Internet-of-Things (IoT) applications. First, the time-varying features of SDWSNs are investigated from which the state-transition probability (STP) of the node is calculated based on a Markov chain. Second, a dynamic link weight is designed for DRA-EERS by incorporating both the link reward and the link cost, where the link reward is related to the link energy efficiency (EE) and the node STP, while the link cost is affected by the locations of nodes. Moreover, one adjustable coefficient is used to balance the link reward and the link cost. Finally, the energy-efficient routing problem can be formulated as an optimization problem, and DRA-EERS is performed to find the best relay according to the energy-efficient RS criteria derived from the designed link weight. The simulation results demonstrate that the path EE obtained by DRA-EERS through an available coefficient adjustment outperforms that by Dijkstra's shortest path algorithm. Again, a tradeoff between the EE and the throughput can be achieved by adjusting the coefficient of the link weight, i.e., increasing the impact of the link reward to improve the EE, and otherwise, to improve the throughput. |
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| AbstractList | In this article, a dynamic routing algorithm based on energy-efficient relay selection (RS), referred to as DRA-EERS, is proposed to adapt to the higher dynamics in time-varying software-defined wireless sensor networks (SDWSNs) for the Internet-of-Things (IoT) applications. First, the time-varying features of SDWSNs are investigated from which the state-transition probability (STP) of the node is calculated based on a Markov chain. Second, a dynamic link weight is designed for DRA-EERS by incorporating both the link reward and the link cost, where the link reward is related to the link energy efficiency (EE) and the node STP, while the link cost is affected by the locations of nodes. Moreover, one adjustable coefficient is used to balance the link reward and the link cost. Finally, the energy-efficient routing problem can be formulated as an optimization problem, and DRA-EERS is performed to find the best relay according to the energy-efficient RS criteria derived from the designed link weight. The simulation results demonstrate that the path EE obtained by DRA-EERS through an available coefficient adjustment outperforms that by Dijkstra’s shortest path algorithm. Again, a tradeoff between the EE and the throughput can be achieved by adjusting the coefficient of the link weight, i.e., increasing the impact of the link reward to improve the EE, and otherwise, to improve the throughput. |
| Author | Yan, Feng Ansari, Nirwan Shen, Lianfeng Chen, Hongyang Ding, Zhaoming |
| Author_xml | – sequence: 1 givenname: Zhaoming orcidid: 0000-0003-3463-8670 surname: Ding fullname: Ding, Zhaoming email: zhmding@seu.edu.cn organization: National Mobile Communications Research Laboratory, Southeast University, Nanjing, China – sequence: 2 givenname: Lianfeng orcidid: 0000-0002-7250-3462 surname: Shen fullname: Shen, Lianfeng email: lfshen@seu.edu.cn organization: National Mobile Communications Research Laboratory, Southeast University, Nanjing, China – sequence: 3 givenname: Hongyang orcidid: 0000-0002-7626-0162 surname: Chen fullname: Chen, Hongyang email: dr.h.chen@ieee.org organization: Research Center for Intelligent Networking, Zhejiang Lab, Hangzhou, China – sequence: 4 givenname: Feng orcidid: 0000-0002-8387-1754 surname: Yan fullname: Yan, Feng email: feng.yan@seu.edu.cn organization: National Mobile Communications Research Laboratory, Southeast University, Nanjing, China – sequence: 5 givenname: Nirwan orcidid: 0000-0001-8541-3565 surname: Ansari fullname: Ansari, Nirwan email: nirwan.ansari@njit.edu organization: Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA |
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| SubjectTerms | Algorithms Coefficients Computer simulation Dynamic routing Energy efficiency energy efficiency (EE) Heuristic algorithms Internet of Things Internet of Things (IoT) Markov chains Optimization Relay relay selection (RS) Relays Routing Routing protocols Shortest-path problems Software software-defined wireless sensor networks (SDWSNs) Transition probabilities Weight Wireless sensor networks |
| Title | Energy-Efficient Relay-Selection-Based Dynamic Routing Algorithm for IoT-Oriented Software-Defined WSNs |
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