scholarly journals Proficient Energy Efficient A2S Leach Technique in Wireless Sensor Networks

2020 ◽  
Vol 9 (5) ◽  
pp. 27-33
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Information Transmission ◽  
Energy Efficient ◽  
Low Energy ◽  
Wireless Sensor ◽  
Critical Test ◽  
Adaptive Clustering ◽  
Remote Sensor ◽  
The Ideal

In Wireless Sensor Networks (WSNs) lifetime of the system relies upon the vitality of the hubs, where vitality utilization is for the most part utilized for information transmission as opposed to detecting and preparing. A critical test in remote sensor systems is the ideal utilization of hub assets. Bunching of sensor hubs helps to utilize the hub vitality ideally and delay the lifetime of vitality compelled remote sensor arrange. Also, in WSN, the decision of steering convention assumes a significant job in using the vitality of hubs effectively. In this paper, another A2S LEACH (Active ↔Sleep - Low Energy Adaptive Clustering Hierarchy) directing strategy is proposed, which joins the two significant classes of various leveled conventions in particular bunch based methodology and chain based methodology. The proposed system is reproduced utilizing NS2 and the outcomes are examined. Reenactment results shows that the proposed A2S LEACH steering convention altogether diminishes vitality utilization and expands the all-out lifetime of the remote sensor organize when contrasted with the LEACH convention.

scholarly journals Energy-efficient selection of cluster headers in wireless sensor networks

2018 ◽  
Vol 14 (3) ◽  
pp. 155014771876464 ◽  
Author(s):  
Adem Fanos Jemal ◽  
Redwan Hassen Hussen ◽  
Do-Yun Kim ◽  
Zhetao Li ◽  
Tingrui Pei ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Packet Loss ◽  
Energy Efficient ◽  
Low Energy ◽  
Wireless Sensor ◽  
Adaptive Clustering ◽  
End To End Delay ◽  
End To End

Clustering is vital for lengthening the lives of resource-constrained wireless sensor nodes. In this work, we propose a cluster-based energy-efficient router placement scheme for wireless sensor networks, where the K-means algorithm is used to select the initial cluster headers and then a cluster header with sufficient battery energy is selected within each cluster. The performance of the proposed scheme was evaluated in terms of the energy consumption, end-to-end delay, and packet loss. Our simulation results using the OPNET simulator revealed that the energy consumption of our proposed scheme was better than that of the low-energy adaptive clustering hierarchy, which is known to be an energy-efficient clustering mechanism. Furthermore, our scheme outperformed low-energy adaptive clustering hierarchy in terms of the end-to-end delay, throughput, and packet loss rate.

Clustering in Wireless Sensor Networks

2012 ◽  
pp. 197-211
Author(s):  
Enamul Haque ◽  
Norihiko Yoshida
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Body Sensor Networks ◽  
Context Aware ◽  
Context Aware Computing ◽  
Adaptive Clustering ◽  
Clustering Data

Applications of Wireless Sensor Networks (WSN) have been expanded from industrial operation to daily common use. With the pace of development, a good number of state-of-the-art routing protocols have been proposed for WSN. Among many of these protocols, hierarchical or cluster-based protocol technique is adopted from the wired network because of its scalability, better manageability, and implicit energy efficiency. In this chapter, the authors have surveyed Low Energy Adaptive Clustering Hierarchy, Power-Efficient Gathering in Sensor Information Systems, Adaptive Periodic Threshold-Sensitive Energy Efficient Sensor Network, and Hybrid Energy-Efficient Distributed Routing Protocols. These protocols exhibit notable characteristics and advantages compared to their contemporaries. Again, context aware computing and applications have been greatly emphasized in recent articles by renowned technologists. This approach is considered as a momentous technology that will change the way of interaction with information devices. Accordingly, context aware clustering technique carries a great deal of importance among WSN routing protocols. Therefore, the authors have investigated noteworthy context aware routing protocols such as: Context Adaptive Clustering, Data-Aware Clustering Hierarchy, Context-Aware Clustering Hierarchy, and Context-Aware Multilayer Hierarchical Protocol. Their investigation and analysis of these protocols has been included in this chapter with useful remarks. Context awareness is considered an integral part of Body Sensor Networks (BSN), which is one kind of WSN. Thus, the authors have also discussed issues related to context aware techniques used in BSN.

scholarly journals Energy efficient enhanced tree structured compression model (ET-CM) for data aggregation in wireless sensor networks

2018 ◽  
Vol 7 (2.17) ◽  
pp. 1
Author(s):  
Nandoori Srikanth ◽  
M Siva ganga prasad
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Aggregation ◽  
Energy Efficient ◽  
Information Measure ◽  
Transmission Time ◽  
Wireless Sensor ◽  
Sensor Systems ◽  
Compression Model ◽  
Remote Sensor

Compression, is a typical strategy to decrease information measure by taking care of information excess, can be utilized as a part of postpone delicate remote sensor systems (WSNs) to diminish end-to-end bundle delay as it can lessen parcel transmission time and conflict on the remote channel. All together for remote sensor systems to misuse flag, flag information must be gathered at a large number of sensors and must be shared among the sensors. Huge sharing of information among the sensors repudiates the prerequisites (vitality effectiveness, low inactivity and high exactness) of remote organized sensor. This paper manages the investigation of compressive proportion and vitality utilization in the system by contrasting and the current compressive strategies.  

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