Transmitter-receiver energy efficiency: A trade-off in MIMO wireless sensor networks

Ayatollahi, Hoda; Tapparello, Cristiano; Heinzelman, Wendi

doi:10.1109/wcnc.2015.7127686

Cited by 9 publications

(7 citation statements)

References 7 publications

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“…Some approaches of wireless charging include the use of specialized nodes called energy transmitters [74] to harvest energy from the environment and then transfer to ordinary nodes in the network. Electromagnetic induction, inductive coupling, and RF energy transfer techniques have been discussed and proposed in literature [14].…”

Section: Mobile Chargersmentioning

confidence: 99%

“…The application of MIMO spreads the power to transmit among different antennas on nodes in the network to achieve power gains. This increases the bandwidth for high data rates and bit-error-rate performance requirements [74,90]. MIMO has challenges in WSN due to the limited physical size of typical sensor nodes that cannot support multiple antennas and the energy consumed by the circuit energy of the transmitter and receiver in the system.…”

Section: Multiple Input Multiple Output (Mimo) Multiple Inputmentioning

confidence: 99%

“…MIMO has challenges in WSN due to the limited physical size of typical sensor nodes that cannot support multiple antennas and the energy consumed by the circuit energy of the transmitter and receiver in the system. When the number of antennas increase, the circuit energy consumed by multiple antennas increases [74]. To mitigate the limitations of MIMO, cooperative MIMO technologies are constructed that minimize the energy consumed in transmission especially in long range transmission where the benefits of MIMO outweigh SISO [90,91].…”

Section: Multiple Input Multiple Output (Mimo) Multiple Inputmentioning

confidence: 99%

“…SISO has efficient energy consumption for short range transmissions but still requires approaches to minimize circuit energy consumption. The reader could read papers [74,92] for further benefits of MIMO.…”

Section: Multiple Input Multiple Output (Mimo) Multiple Inputmentioning

confidence: 99%

See 3 more Smart Citations

Prolonging the Lifetime of Wireless Sensor Networks: A Review of Current Techniques

Engmann

Katsriku

Abdulai

et al. 2018

Wireless Communications and Mobile Computing

158

105

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There has been an increase in research interest in wireless sensor networks (WSNs) as a result of the potential for their widespread use in many different areas like home automation, security, environmental monitoring, and many more. Despite the successes gained, the widespread adoption of WSNs particularly in remote and inaccessible places where their use is most beneficial is hampered by the major challenge of limited energy, being in most instances battery powered. To prolong the lifetime for these energy hungry sensor nodes, energy management schemes have been proposed in the literature to keep the sensor nodes alive making the network more operational and efficient. Currently, emphasis has been placed on energy harvesting, energy transfer, and energy conservation methods as the primary means of maintaining the network lifetime. These energy management techniques are designed to balance the energy in the overall network. The current review presents the state of the art in the energy management schemes, the remaining challenges, and the open issues for future research work.

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Section: Mobile Chargersmentioning

confidence: 99%

Section: Multiple Input Multiple Output (Mimo) Multiple Inputmentioning

confidence: 99%

Section: Multiple Input Multiple Output (Mimo) Multiple Inputmentioning

confidence: 99%

Section: Multiple Input Multiple Output (Mimo) Multiple Inputmentioning

confidence: 99%

See 2 more Smart Citations

Prolonging the Lifetime of Wireless Sensor Networks: A Review of Current Techniques

Engmann

Katsriku

Abdulai

et al. 2018

Wireless Communications and Mobile Computing

158

105

View full text Add to dashboard Cite

show abstract

“…The proposed WSN algorithm is derived from the solution of the NUM problem. 24,25 We use the Lagrangian multiplier method to solve the cross-layer optimization problem and jointly achieve optimal rate control, scheduling, routing, and power control.…”

Section: Joint Control Algorithmsmentioning

confidence: 99%

Data transmission optimization algorithm for network utility maximization in wireless sensor networks

Wang

2016

International Journal of Distributed Sensor Networks

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We provide a joint scheme for rate control, scheduling, routing, and power control protocol for wireless sensor networks based on compressive sensing. Using a network utility maximization formulation, we present cross-layer optimization solutions using Lagrangian multipliers in the transport, network, media access control, and physical layers. Inspired by compressive sensing, we focus on the construction of utility functions based on the constraints of the link capacity, rate, routing, and power to decrease the computational cost, accelerate the convergence rate, and degrade the error ratio. The optimization solutions are developed by solving the optimization model of network utility maximization. We prove the effectiveness by the theory analysis at the stability of the transmission rate and error ratio. Finally, simulation results demonstrate the performance in terms of stability of the error ratio of compressive sensing, energy consumption, and transmission delay in wireless sensor networks.

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Enhancing the Reliability of WSN Through Wireless Energy Transfer

Engmann

Abdulai

Azasoo

2016

Lecture Notes in Computer Science

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Abstract. Communication reliability is the ability of the network to last long enough without breaking communication between neighbouring nodes that relay information to the final destination. The transfer of energy from the base station to largely spatially distributed sensor nodes in a network with concurrent data transmission is studied. Concurrent data and energy transfer methods require separation of their frequencies and optimum distance between nodes and Energy Transmitters (ETs). Three techniques of energy transfer: store and forward, direct flow transmission and a hybrid will be explored in an unequal clustering environment for concurrent data and energy transmission. The research seeks to explore the use of energy transmitters augmented with energy transfer techniques that redistribute energy in the network to ensure communication reliability. The need for an optimum energy threshold that will determine whether a node is "fit" to relay energy to neighbouring nodes is investigated.

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Transmitter-receiver energy efficiency: A trade-off in MIMO wireless sensor networks

Cited by 9 publications

References 7 publications

Prolonging the Lifetime of Wireless Sensor Networks: A Review of Current Techniques

Prolonging the Lifetime of Wireless Sensor Networks: A Review of Current Techniques

Data transmission optimization algorithm for network utility maximization in wireless sensor networks

Enhancing the Reliability of WSN Through Wireless Energy Transfer

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