scholarly journals Low latency and energy efficient cluster based routing design for wireless sensor network

Author(s):  
Basavaraj G.N ◽  
Jaidhar C.D

<span>Wireless sensor network (WSN) has attained wide adoption across various sectors and is considered to be key component of future real-time application such as BigData, Internet of things (IoT) etc. The modern application requires low latency and scalable real-time data access considering heterogeneous network. However, provisioning low latency real-time data access incurs energy overhead among sensor device. Clustering technique aided in providing scalability and minimizing energy consumption among sensor device. However, it incurs energy overhead among cluster head and sensor device closer to sink. To address, many optimization technique is been presented in recent time for optimal cluster selection. However, these technique are designed considering homogenous network. To address, this work presented Low Latency and Energy Efficient Routing (LLEER) design for heterogeneous WSN. The LLEER adopts multi-objective function such as</span><span>connectivity, connection time, radio signal strength, coverage time, and network traffic for cluster head and hop node selection. Experiment are conducted to evaluate LLEER design shows significant performance improvement over state-of-art model in terms of network lifetime considering total node death, first node death, and loss of connectivity, communication overhead, and packet transmission latency. Proposed LLEER brings a good trade-off between energy efficiency, and latency requirement of future real-time application.<span>   </span></span>

2021 ◽  
Vol 58 (1) ◽  
pp. 1836-1843
Author(s):  
Naveen Ghorpade, Dr. P. Vijaykarthik

The Wireless Sensor Network (WSN) is considered to be a core component of tomorrow's real-time data communication networks, such as the Internet of Things (IoT). Modern networks need low-latency and high-throughputs in real-time due to a heterogeneous network. The availability of low-latency real-time data access incurs energy costs from the sensor systems. Clustering helped in maintaining the scalability and energy usage of sensors. However, it incurs overhead of the independent cluster head and sensor device within the close range of the sump pump. Since it would take longer transmission and recovery time. This Mine Research Paper introduces an Accessible Mobile Sensor Dependent Data Collection (EMSDC) Model for Cluster Based WSN (CWSN). Experiments are carried out to verify the efficiency of EMSDC and to equate it with the existing versions. The findings of the Latency and Overhead benchmarks demonstrated a lot of progress over the state-of-the-art versions.


Author(s):  
K G Shanthi ◽  
S Sesha Vidhya ◽  
G Vishali ◽  
R V Uma ◽  
M Thanuja ◽  
...  

2012 ◽  
Vol 562-564 ◽  
pp. 1297-1303
Author(s):  
Jun Hao Wang ◽  
Xiang Rui Meng

For effective routing in wireless sensor networks many routing protocols have been implemented. However, transmission of data requires both energy and QoS efficient routing in order to ensure efficient usage of the sensors and effective access to the gathered measurements. An energy-efficient QoS routing algorithm for sensor networks is proposed which can also run efficiently with best-effort traffic. The algorithm finds a least-cost, delay-constrained path for realtime data in terms of link cost that captures nodes’ energy reserve, transmission energy, error rate and other communication parameters. Moreover, the throughput for non-real-time data is maximized by adjusting the service rate for both real-time and non-real-time data at the sensor nodes by using two different calculation. Simulation results have demonstrated the effectiveness of our approach for different metrics.


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