Energy efficiency of many-to-one communications in wireless networks

Duarte-Melo, Enrique J.; Liu, M.

doi:10.1109/mwscas.2002.1187296

Cited by 13 publications

(11 citation statements)

References 5 publications

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“…1) First, from the viewpoint of propagation distance in the PHY layer, many authors [15]- [20] have discussed how to design the number of clusters in a sensor network. Duarte-Melo and Liu [15] concluded that the number of clusters should be as large as possible, because the distance between the cluster head and its members can be shortened. However, in [16] and [17], it was shown that a larger number of clusters also lead to more onehop transmissions from the heads to the sink.…”

Section: A Related Workmentioning

confidence: 99%

Optimal Number of Clusters in Dense Wireless Sensor Networks: A Cross-Layer Approach

Wang

Liu

2009

IEEE Trans. Veh. Technol.

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Abstract-Cluster-based sensor networks have the advantages of reducing energy consumption and link-maintenance cost. One fundamental issue in cluster-based sensor networks is determining the optimal number of clusters. In this paper, we suggest a physical (PHY)/medium access control (MAC)/network (NET) cross-layer analytical approach for determining the optimal number of clusters, with the objective of minimizing energy consumption in a high-density sensor network. Our cross-layer design can incorporate many effects, including lognormal shadowing and a two-slope path loss model in the PHY layer, various MAC scheduling, and multihop routing schemes. Compared with the base-line case with one cluster per observation area (OA), a sensor network with the proposed optimal number of clusters can reduce the energy consumption by more than 80% in some cases. We also verify by simulations that the analytical optimal cluster number can still effectively function, regardless of the different densities of sensors in various OAs.Index Terms-Cross-layer design, optimal number of clusters, wireless sensor networks.

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Section: A Related Workmentioning

confidence: 99%

Optimal Number of Clusters in Dense Wireless Sensor Networks: A Cross-Layer Approach

Wang

Liu

2009

IEEE Trans. Veh. Technol.

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“…Our approach extends the method of [7] to the system which performs the multi-hop communication between clusters. Assuming clusters are circular form, we derive the total number of transmissions in a cluster, x c , is…”

Section: Evaluation Of Power Consumption By Analysis and Simulationmentioning

confidence: 99%

Performance Evaluation of Intercluster Multi-hop Communication Large-Scale Sensor Networks

Yuichi

Sugano

Murata

2006

The Sixth IEEE International Conference on Computer and Information Technology (CIT'06)

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In large-scale sensor networks, multi-hop communication between sensor nodes is necessary to cover a large monitoring region. Moreover, sensor nodes should be grouped into clusters to enhance scalability and robustness. We examine the characteristics of multi-hop communication between clusters in large-scale sensor networks and compare them with other routing methods.We also investigate the characteristics of sensor networks by comparing TDMA with CSMA/CA. If positional information of all sensor nodes is available, a transmission schedule that avoids interference completely can be constructed and TDMA can be applied. However, gathering this information and distributing the schedules over large monitoring region are impossible practically. Therefore, we also apply CSMA/CA since the information of only neighboring sensor nodes is necessary. As a result, using CSMA/CA, power consumption increases by 12% and the packet collection time becomes about four times longer in comparison to using TDMA based on location information of all sensor nodes.

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“…An information theoretic approach is taken in [1] to completely characterize the source/channel capacity of the reachback channel, where a common receiver collects from multiple sensors local measurements of a random field to reproduce it. In the field of energy efficiency, the work in [3] analyzes the energy consumption in a many-to-one sensor network. Both flat and clustering architectures are considered.…”

Section: Related Workmentioning

confidence: 99%