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Aparna, R.
- Reliable and Efficient Routing Model for Unequal Clustering-Based Wireless Sensor Networks
Abstract Views :388 |
PDF Views:3
Authors
Rudramurthy V C
1,
R. Aparna
2
Affiliations
1 Department of Computer Science and Engineering, Global Academy of Technology, Bengaluru, Karnataka, IN
2 Department of Information Science and Engineering, Siddaganga Institute of Technology, Tumakuru, Karnataka, IN
1 Department of Computer Science and Engineering, Global Academy of Technology, Bengaluru, Karnataka, IN
2 Department of Information Science and Engineering, Siddaganga Institute of Technology, Tumakuru, Karnataka, IN
Source
International Journal of Computer Networks and Applications, Vol 9, No 1 (2022), Pagination: 1-11Abstract
The lifetime of Wireless Sensor Networks (WSNs) can be extended with the adoption of an effective clustering method. However, the major problem of a multihop-based clustered network is the "hotspot" problem i.e., the Cluster Head (CH) closer to the base station tends to die very fast in comparison with far away nodes due to inter-cluster communication. Furthermore, no prior works have considered reliability and efficient factors together for provisioning modern data-intensive applications under WSN. In addressing research issues, this paper presents a Reliable and Efficient Routing (RER) design under an unequal clustering environment. The RER employs a two-phase model, first an effective CH selection strategy for enhancing efficiency; secondly, Reliable and Efficient Route Selection (RER) model for provisioning application with QoS constraint. Experiment outcomes show that the proposed routing strategy improves network lifetime with reduced communication overhead and communication delay.Keywords
Index Terms – Clustering, Energy Efficiency, Reliability, Unequal Clustering, Cluster Head, Assistant Cluster HeadFull Text
References
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- Energy Efficient Cluster Formation and Multihop Routing Based on Improved Harmony Search Algorithm for Wireless Sensor Networks
Abstract Views :79 |
PDF Views:1
Authors
G. V. Sowmya
1,
R. Aparna
2
Affiliations
1 Department of Information Science and Engineering, Jawaharlal Nehru New College of Engineering (Visvesveraya Technological University, Belagavi), Shimoga, Karnataka, IN
2 Department of Information Science and Engineering, Siddaganga Institute of Technology (Visvesveraya Technological University, Belagavi), Tumakuru, Karnataka, IN
1 Department of Information Science and Engineering, Jawaharlal Nehru New College of Engineering (Visvesveraya Technological University, Belagavi), Shimoga, Karnataka, IN
2 Department of Information Science and Engineering, Siddaganga Institute of Technology (Visvesveraya Technological University, Belagavi), Tumakuru, Karnataka, IN
Source
International Journal of Computer Networks and Applications, Vol 10, No 5 (2023), Pagination: 706-727Abstract
Energy efficiency plays a crucial role in extending the operational lifespan of Wireless Sensor Networks (WSNs). It stands as the foremost objective for any routing algorithm designed for WSNs. This study centers on enhancing communication efficiency through a multihop approach guided by the Harmony Search Algorithm (HSA). The process incorporates Cluster Head (CH) selection through the utilization of the HSA and by assessing the quality of the communication channel. There are instances where a channel possesses high capacity, yet it transmits minimal data, leading to resource underutilization. Therefore, if the communication channel’s quality is pre-determined, then algorithms can be developed to establish an upper limit for channel usage, ensuring congestion free and error free maximum data transmission. In the proposed methodology, parameters such as residual energy, distance and node degree were taken into account for CH selection. Subsequently, clusters were formed based on Shannon Channel Capacity ‘C’ and path loss model. Following the CH selection and cluster formation, a communication was established using HSA. A comparative analysis was conducted on network life span, packets sent to Base Station (BS) and energy utilization for the three algorithms, Energy Efficient Harmony Search Based Routing (EEHSBR), Clustering and Routing in wireless sensor networks using Harmony Search Algorithm (CRHS), and Robust Harmony Search Algorithm based clustering protocol for wireless sensor networks (RHSA).Keywords
Wireless Sensor Network, Harmony Search Algorithm, Shannon Channel Capacity ‘C’, Path Loss Model, Cluster Head, Harmony Memory.Full Text
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