Energy‐efficient data transmission technique for wireless sensor networks based on DSC and virtual MIMO

Singh, Manish Kumar; Amin, S. Intekhab

doi:10.4218/etrij.2018-0632

Cited by 14 publications

(9 citation statements)

References 19 publications

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“…CMIMO scheme reduces the energy consumption of sensor nodes quite effectively by using the space-time block coding scheme. However, in [ 19 ] it is shown that in networks with high node density, the scheme is ineffective due to the high degree of correlated data. Therefore, to enhance the energy efficiency in these cases, the authors propose to use the distributed source coding (DSC) with the virtual MIMO data transmission technique.…”

Section: Energy Conservationmentioning

confidence: 99%

Current Trends on Green Wireless Sensor Networks

López-Ardao

Rodríguez-Rubio

Suárez-González

et al. 2021

Sensors

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The issue of energy balancing in Wireless Sensor Networks is a pivotal one, crucial in their deployment. This problem can be subdivided in three areas: (i) energy conservation techniques, usually implying minimizing the cost of communication at the nodes since it is known that the radio is the biggest consumer of the available energy; (ii) energy-harvesting techniques, converting energy from not full-time available environmental sources and usually storing it; and (iii) energy transfer techniques, sharing energy resources from one node (either specialized or not) to another one. In this article, we survey the main contributions in these three areas and identify the main trending topics in recent research. A discussion and some future directions are also included.

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Section: Energy Conservationmentioning

confidence: 99%

Current Trends on Green Wireless Sensor Networks

López-Ardao

Rodríguez-Rubio

Suárez-González

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…The proposed scheme was able to deliver the local publication to the core domain and solves the issue in remote publication routing into the edge domain, allowing the objects to be routed aptly to the subscribers. Zhang and Dong [19] have examined few issues in routing such as the delay in transmission and proposed a bypassing void routing protocol. The whole theory was dependent upon the virtual coordinates to prevent the void problem V. CONCLUSION In this paper, we have discussed the overview on routing protocls (its ,features, advantages, disadvantages), Routing protocol, Wireless network and security with the concept of data transfer, in the paper, in which we get to know about what is different protocols its survey how important it is and how it has been used and the issues that should kept in mind for the betterment of a reliable and comfortable result.…”

Section: IVmentioning

confidence: 99%

Brief Performance Analysis of Routing Protocols

Kaur¹

2021

IJRASET

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Routing in Wireless Sensor Networks (WSNs) plays an important role in areas such as environment-oriented surveillance and traffic monitoring. Here we have explored the large contribution of routing to WSNs. This paper is primarily intended to categorize routing issues and investigate optimization issues related to routing. The following describes various features related to routing energy, security, speed, and reliability issues. The documentation is then analyzed for simulated environments and test configurations, knowledge of quality of service (QoS) and implementations in various applications.. Keywords: Wireless Sensor Networks; reliability, energy-efficient data communication; energy management; energy enviorment

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“…It is not energy efficient for long distance communication and also provides low data rate. The V-MIMO technique is used to increase the data rate and reduce energy consumption for long distance communication in WSN [10]. But, WSN covers a large area.…”

Section: Problem Description and Proposed Workmentioning

confidence: 99%

“…Now, in Fig. 2b, 2c, the total energy for transmitting a bit using V-SIMO and V-MISO communication in a single hop is given by (9) and (10) (3)…”

Section: Energy Consumption Analysis Of Multihop Mimo Techniquementioning

confidence: 99%

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Energy efficient wireless sensor network using optimum hops and virtual MIMO technique

Singh

Amin

2020

SN Appl. Sci.

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The virtual multiple-input multiple-output (V-MIMO) configuration provide the reliable broadband wireless communication that raises the data rate and reduce the energy consumption, for long range communication in the wireless sensor network (WSN). Generally in the WSN, the source node does not have sufficient power and transmission range to transmit data packets directly to the sink node. Therefore, the multihop technique is necessary to transmit data from source node to sink node. In this paper, multihop V-MIMO technique is used for long range communication in the WSN. In this technique, the source-to-sink route divides into many optimum hops, following which the 2 × 2 V-MIMO technique is applied to all the hops. The simulation results show that for long range communication, the multihop MIMO technique provides better energy saving than the MIMO technique or multihop single-input single-output (SISO) technique in a WSN, while satisfying the throughput and delay. The paper also presents the effect of path loss exponent on energy consumption. The simulation results clearly indicate that the energy consumption increases with an increase in the path loss exponent in the SISO, MIMO, single and multihop communication techniques. The result reveals that the network reliability is inversely proportional to the number of hops.

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Energy‐efficient data transmission technique for wireless sensor networks based on DSC and virtual MIMO

Cited by 14 publications

References 19 publications

Current Trends on Green Wireless Sensor Networks

Current Trends on Green Wireless Sensor Networks

Brief Performance Analysis of Routing Protocols

Energy efficient wireless sensor network using optimum hops and virtual MIMO technique

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