Optimization-Based Channel Constrained Data Aggregation Routing Algorithms in Multi-Radio Wireless Sensor Networks
In wireless sensor networks, data aggregation routing could reduce the number of data transmissions so as to achieve energy efficient transmission. However, data aggregation introduces data retransmission that is caused by co-channel interference from neighboring sensor nodes. This kind of co-channe...
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| Vydané v: | Sensors (Basel, Switzerland) Ročník 9; číslo 6; s. 4766 - 4788 |
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Switzerland
MDPI AG
01.06.2009
Molecular Diversity Preservation International (MDPI) |
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| ISSN: | 1424-8220, 1424-8220 |
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| Abstract | In wireless sensor networks, data aggregation routing could reduce the number of data transmissions so as to achieve energy efficient transmission. However, data aggregation introduces data retransmission that is caused by co-channel interference from neighboring sensor nodes. This kind of co-channel interference could result in extra energy consumption and significant latency from retransmission. This will jeopardize the benefits of data aggregation. One possible solution to circumvent data retransmission caused by co-channel interference is to assign different channels to every sensor node that is within each other’s interference range on the data aggregation tree. By associating each radio with a different channel, a sensor node could receive data from all the children nodes on the data aggregation tree simultaneously. This could reduce the latency from the data source nodes back to the sink so as to meet the user’s delay QoS. Since the number of radios on each sensor node and the number of non-overlapping channels are all limited resources in wireless sensor networks, a challenging question here is to minimize the total transmission cost under limited number of non-overlapping channels in multi-radio wireless sensor networks. This channel constrained data aggregation routing problem in multi-radio wireless sensor networks is an NP-hard problem. I first model this problem as a mixed integer and linear programming problem where the objective is to minimize the total transmission subject to the data aggregation routing, channel and radio resources constraints. The solution approach is based on the Lagrangean relaxation technique to relax some constraints into the objective function and then to derive a set of independent subproblems. By optimally solving these subproblems, it can not only calculate the lower bound of the original primal problem but also provide useful information to get the primal feasible solutions. By incorporating these Lagrangean multipliers as the link arc weight, the optimization-based heuristics are proposed to get energy-efficient data aggregation tree with better resource (channel and radio) utilization. From the computational experiments, the proposed optimization-based approach is superior to existing heuristics under all tested cases. |
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| AbstractList | In wireless sensor networks, data aggregation routing could reduce the number of data transmissions so as to achieve energy efficient transmission. However, data aggregation introduces data retransmission that is caused by co-channel interference from neighboring sensor nodes. This kind of co-channel interference could result in extra energy consumption and significant latency from retransmission. This will jeopardize the benefits of data aggregation. One possible solution to circumvent data retransmission caused by co-channel interference is to assign different channels to every sensor node that is within each other's interference range on the data aggregation tree. By associating each radio with a different channel, a sensor node could receive data from all the children nodes on the data aggregation tree simultaneously. This could reduce the latency from the data source nodes back to the sink so as to meet the user's delay QoS. Since the number of radios on each sensor node and the number of non-overlapping channels are all limited resources in wireless sensor networks, a challenging question here is to minimize the total transmission cost under limited number of non-overlapping channels in multi-radio wireless sensor networks. This channel constrained data aggregation routing problem in multi-radio wireless sensor networks is an NP-hard problem. I first model this problem as a mixed integer and linear programming problem where the objective is to minimize the total transmission subject to the data aggregation routing, channel and radio resources constraints. The solution approach is based on the Lagrangean relaxation technique to relax some constraints into the objective function and then to derive a set of independent subproblems. By optimally solving these subproblems, it can not only calculate the lower bound of the original primal problem but also provide useful information to get the primal feasible solutions. By incorporating these Lagrangean multipliers as the link arc weight, the optimization-based heuristics are proposed to get energy-efficient data aggregation tree with better resource (channel and radio) utilization. From the computational experiments, the proposed optimization-based approach is superior to existing heuristics under all tested cases. In wireless sensor networks, data aggregation routing could reduce the number of data transmissions so as to achieve energy efficient transmission. However, data aggregation introduces data retransmission that is caused by co-channel interference from neighboring sensor nodes. This kind of co-channel interference could result in extra energy consumption and significant latency from retransmission. This will jeopardize the benefits of data aggregation. One possible solution to circumvent data retransmission caused by co-channel interference is to assign different channels to every sensor node that is within each other's interference range on the data aggregation tree. By associating each radio with a different channel, a sensor node could receive data from all the children nodes on the data aggregation tree simultaneously. This could reduce the latency from the data source nodes back to the sink so as to meet the user's delay QoS. Since the number of radios on each sensor node and the number of non-overlapping channels are all limited resources in wireless sensor networks, a challenging question here is to minimize the total transmission cost under limited number of non-overlapping channels in multi-radio wireless sensor networks. This channel constrained data aggregation routing problem in multi-radio wireless sensor networks is an NP-hard problem. I first model this problem as a mixed integer and linear programming problem where the objective is to minimize the total transmission subject to the data aggregation routing, channel and radio resources constraints. The solution approach is based on the Lagrangean relaxation technique to relax some constraints into the objective function and then to derive a set of independent subproblems. By optimally solving these subproblems, it can not only calculate the lower bound of the original primal problem but also provide useful information to get the primal feasible solutions. By incorporating these Lagrangean multipliers as the link arc weight, the optimization-based heuristics are proposed to get energy-efficient data aggregation tree with better resource (channel and radio) utilization. From the computational experiments, the proposed optimization-based approach is superior to existing heuristics under all tested cases.In wireless sensor networks, data aggregation routing could reduce the number of data transmissions so as to achieve energy efficient transmission. However, data aggregation introduces data retransmission that is caused by co-channel interference from neighboring sensor nodes. This kind of co-channel interference could result in extra energy consumption and significant latency from retransmission. This will jeopardize the benefits of data aggregation. One possible solution to circumvent data retransmission caused by co-channel interference is to assign different channels to every sensor node that is within each other's interference range on the data aggregation tree. By associating each radio with a different channel, a sensor node could receive data from all the children nodes on the data aggregation tree simultaneously. This could reduce the latency from the data source nodes back to the sink so as to meet the user's delay QoS. Since the number of radios on each sensor node and the number of non-overlapping channels are all limited resources in wireless sensor networks, a challenging question here is to minimize the total transmission cost under limited number of non-overlapping channels in multi-radio wireless sensor networks. This channel constrained data aggregation routing problem in multi-radio wireless sensor networks is an NP-hard problem. I first model this problem as a mixed integer and linear programming problem where the objective is to minimize the total transmission subject to the data aggregation routing, channel and radio resources constraints. The solution approach is based on the Lagrangean relaxation technique to relax some constraints into the objective function and then to derive a set of independent subproblems. By optimally solving these subproblems, it can not only calculate the lower bound of the original primal problem but also provide useful information to get the primal feasible solutions. By incorporating these Lagrangean multipliers as the link arc weight, the optimization-based heuristics are proposed to get energy-efficient data aggregation tree with better resource (channel and radio) utilization. From the computational experiments, the proposed optimization-based approach is superior to existing heuristics under all tested cases. |
| Author | Yen, Hong-Hsu |
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| References | Carle (ref_8) 2004; 37 ref_13 Lin (ref_4) 2009; 9 ref_11 Akyildiz (ref_2) 2002; 40 ref_20 Raghunathan (ref_1) 2002; 19 Yen (ref_3) 2005; E88-B Yen (ref_19) 2009; 3 Zhou (ref_14) 2003; 3 ref_18 ref_17 ref_16 ref_15 ref_9 McCormick (ref_7) 1983; 26 ref_5 Wu (ref_12) 2006; 24 Tan (ref_10) 2003; 32 ref_6 22573969 - Sensors (Basel). 2009;9(3):1518-33 |
| References_xml | – ident: ref_6 – ident: ref_9 – volume: 3 start-page: 784 year: 2009 ident: ref_19 article-title: Integrated Channel Assignment and Data Aggregation Routing Problem in Wireless Sensor Networks publication-title: IET Commun. doi: 10.1049/iet-com.2008.0239 – volume: E88-B start-page: 4470 year: 2005 ident: ref_3 article-title: Energy-Efficient Data-Centric Routing in Wireless Sensor Networks publication-title: IEICE Trans. Commun. doi: 10.1093/ietcom/e88-b.12.4470 – volume: 26 start-page: 153 year: 1983 ident: ref_7 article-title: Optimal Approximation of Sparse Hessians and Its Equivalence to a Graph Coloring Problem publication-title: Math. Prog. doi: 10.1007/BF02592052 – volume: 37 start-page: 40 year: 2004 ident: ref_8 article-title: Energy Efficient Area Monitoring by Sensor Networks publication-title: IEEE Computer doi: 10.1109/MC.2004.1266294 – ident: ref_5 – ident: ref_13 doi: 10.1109/INFCOM.2007.134 – ident: ref_18 doi: 10.1109/COMSWA.2006.1665157 – ident: ref_11 – volume: 24 start-page: 1972 year: 2006 ident: ref_12 article-title: Distributed Channel Assignment and Routing in Multiradio Multichannel Multihop Wireless Networks publication-title: IEEE J. Sel. Areas Commun. doi: 10.1109/JSAC.2006.881638 – volume: 40 start-page: 102 year: 2002 ident: ref_2 article-title: A Survey on Sensor Networks publication-title: IEEE Commun. Mag. doi: 10.1109/MCOM.2002.1024422 – volume: 9 start-page: 1518 year: 2009 ident: ref_4 article-title: A Novel Energy-Efficient MAC Aware Data Aggregation Routing in Wireless Sensor Networks publication-title: Sensors doi: 10.3390/s90301518 – ident: ref_16 – ident: ref_15 – volume: 3 start-page: 1269 year: 2003 ident: ref_14 article-title: Localized Topology Generation Mechanisms for Wireless Sensor Networks publication-title: IEEE GLOBECOM – ident: ref_17 – volume: 32 start-page: 66 year: 2003 ident: ref_10 article-title: Power Efficient Data Gathering and Aggregation in Wireless Sensor Networks publication-title: ACM SIGMOD Record doi: 10.1145/959060.959072 – ident: ref_20 – volume: 19 start-page: 40 year: 2002 ident: ref_1 article-title: Energy-aware Wireless Microsensor Networks publication-title: IEEE Signal Proc. Mag. doi: 10.1109/79.985679 – reference: 22573969 - Sensors (Basel). 2009;9(3):1518-33 |
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| SubjectTerms | Algorithms channel assignment Communication data aggregation Data transmission Energy consumption Linear programming multi-radio Optimization Radios Sensors Wireless networks wireless sensor networks |
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| Title | Optimization-Based Channel Constrained Data Aggregation Routing Algorithms in Multi-Radio Wireless Sensor Networks |
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