Using Transmit-Only Sensors to Reduce Deployment Cost of Wireless Sensor Networks

Błaszczyszyn, Bartłomiej; Radunović, Božidar

doi:10.1109/infocom.2008.176

Cited by 31 publications

(22 citation statements)

References 10 publications

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“…[49] shows TO energy consumption decreased while maintaining the same network coverage, under optimal policies. Huebner et al [50] demonstrate feasibility using an SDR receiver.…”

Section: Background and Related Workmentioning

confidence: 94%

“…Researchers [49], [50], [51], [52] and an industry consortium, Weightless SIG [10], consider transmit-only (TO) protocols for LPWA, to avoid the high energy consumption and overhead of bidirectional medium access control (MAC) protocols or to reduce equipment cost. [49] shows TO energy consumption decreased while maintaining the same network coverage, under optimal policies.…”

Section: Background and Related Workmentioning

confidence: 99%

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Reliability and longer range for low power transmitters with on demand network MIMO

Weitnauer

Lin

Zhang

et al. 2016

2016 IEEE International Conference on RFID (RFID)

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We propose a new approach for the uplink in a one-hop multi-gateway wireless packet network. In principle, the proposed technique applies to many types of low-power transmitters, including wireless sensors and RFID tags, both active and passive. Only when requested, each gateway node (or listener) forwards the compressed physical layer samples of packets to a server, which decodes the packets using multiple-input-multipleoutput (MIMO) techniques; this functionality could be described as selective application of multi-user MIMO with a distributed receiver array. Packets that have adequate SINR at a gateway are decoded, i.e., captured, and their waveforms are reconstructed and subtracted from stored samples; this subtraction is interference cancellation (IC). After IC, weaker packets may be revealed and decoded by the gateway, enabling successive IC (SIC). The diversity gain of multi-gateway reception provides higher SNR to packets that are not decodable at any gateway, thereby extending range. The spatial multiplexing capability of MIMO enables packets that have too much interference at the gateways to be decoded at the server, thereby supporting energy saving transmit-only strategies. The selectivity or "on demand" feature lowers the fronthaul cost of sending samples to the server. This paper presents preliminary simulation and experimental performance results and overviews the various design concerns of On Demand Network MIMO, such as synchronization, spreading, SIC performance, gateway deployment, and medium access control (MAC).

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“…[49] shows TO energy consumption decreased while maintaining the same network coverage, under optimal policies. Huebner et al [50] demonstrate feasibility using an SDR receiver.…”

Section: Background and Related Workmentioning

confidence: 94%

Section: Background and Related Workmentioning

confidence: 99%

Reliability and longer range for low power transmitters with on demand network MIMO

Weitnauer

Lin

Zhang

et al. 2016

2016 IEEE International Conference on RFID (RFID)

View full text Add to dashboard Cite

show abstract

“…Hybrid wireless sensor networks (WSNs) with transmit-only nodes can effectively reduce network deployment costs, prolong the lifetime of the networks (Chuangeng et al, 2016;Zhao et al, 2013;Blaszczyszyn et al, 2008). Transmit-only nodes remove unnecessary receiving circuit, and therefore their communication cannot be coordinated.…”

Section: Introductionmentioning

confidence: 99%

Compressive Sensing Based Data Gathering in Wireless Sensor Networks with Transmit-only Nodes

2016

Technical Journal of the Faculty of Engineering

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In this paper, we employ compressive sensing (CS) to design a data gathering scheme for wireless sensor networks (WSNs) with transmit-only nodes, where plenty of transmit-only nodes are activated to perform the sensing task and their data are gathered at a sink center to monitor environment using the CS principle. Typically, in the research published methods based on CS and random channel access, authors have used measurement matrix to reconstruct with encouraging results. However, they are limited in processing WSNs with transmit-only nodes.To account for the packet loss that occurs due to collisions, we propose a new approach with dual-measurement matrixreconstruction that minimizes average reconstruction error at the sink center. Simulation results demonstrate that compared with the conventional random channel access models, the proposed dual-measurement matrix model can improved reconstruction performance, and it is more effective in processing compressive WSNs with transmit-only nodes.

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“…To meet the increasing demand for localized fine-grained sensing, WSN systems with densely deployed low cost and low power nodes have received a lot of attention. Of particular interest are WSN systems that adopt function-reduced nodes, such as those with only transmitters [2] [3].…”

Section: Introductionmentioning

confidence: 99%

Constrained Scheduling in Hybrid Wireless Sensor Networks with Transmit-Only Nodes

Zhao

Sudhaakar

Yoon

et al. 2010

2010 IEEE International Conference on Communications

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Low cost and low power consumption are two major design criteria in wireless sensor networks (WSN). To meet the increasing demand for localized fine-grained sensing with densely deployed WSNs, this paper proposes the use of a hybrid WSN that consists of nodes with standard transceivers and nodes with only transmitters. A two-phase Constrained-Scheduling based MAC protocol is proposed, which employs the "Automatic Resource Estimation (ARE)" method. Through analysis and extensive simulations, the proposed protocol is shown to achieve a significant performance improvement in terms of data delivery probability, QoS differentiation and energy minimization over existing MAC protocols for such networks. To the best of our knowledge, this work is the first effort to bring scheduling to WSNs that contains asynchronous and uncoordinated transmit-only nodes.

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Using Transmit-Only Sensors to Reduce Deployment Cost of Wireless Sensor Networks

Cited by 31 publications

References 10 publications

Reliability and longer range for low power transmitters with on demand network MIMO

Reliability and longer range for low power transmitters with on demand network MIMO

Compressive Sensing Based Data Gathering in Wireless Sensor Networks with Transmit-only Nodes

Constrained Scheduling in Hybrid Wireless Sensor Networks with Transmit-Only Nodes

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