Energy-Aware Routing Hole Detection Algorithm in the Hierarchical Wireless Sensor Network

Abstract

To minimize the communication overhead with the help of optimal path selection in Wireless Sensor Network (WSN) routing protocols is the challenging issue. Hierarchical routing optimizes energy utilization by distributing the workload among different clusters. But many-to-one multi-hop hierarchical routing will result in the excessive expenditure of energy near the sink and leads to early energy exhaustion of the nodes. Due to this the routing hole problem can be caused around the base station. Data routed along the hole boundary nodes will lead to premature exhaustion of energy. This will maximize the size of the hole in the network. Detection of holes saves the additional energy consumption around the hole and minimize the hole size. In this paper a novel energy efficient routing hole detection (EEHD) algorithm is presented, on the detection of routing hole, the periodic re-clustering is performed to avoid the long detour path. Extensive simulations are done in MATLAB, the results reveal that EEHD has better performance than other conventional routing hole detection techniques, such as BCP and BDCIS.

Authors and Affiliations

Najm Us Sama, Kartinah Bt Zen, Atiq Ur Rahman, Aziz Ud Din

Keywords

Related Articles

Vitality Aware Cluster Head Election to Alleviate the Wireless Sensor Network for Long Time

The Wireless Sensor Networks (WSN) motivated by its unique characters such as it is capable of enduring callous ecological circumstances, and grant better scalability. The wireless sensor network is composed of insignifi...

Pre-Trained Convolutional Neural Network for Classification of Tanning Leather Image

Leather craft products, such as belt, gloves, shoes, bag, and wallet are mainly originated from cow, crocodile, lizard, goat, sheep, buffalo, and stingray skin. Before the skins are used as leather craft materials, they...

Convolutional Neural Network Hyper-Parameters Optimization based on Genetic Algorithms

In machine learning for computer vision based applications, Convolutional Neural Network (CNN) is the most widely used technique for image classification. Despite these deep neural networks efficiency, choosing their opt...

Critical Path Reduction of Distributed Arithmetic Based FIR Filter

Operating speed, which is reciprocal of critical path computation time, is one of the prominent design matrices of finite impulse response (FIR) filters. It is largely affected by both, system architecture as well as tec...

Using Fuzzy Clustering Powered by Weighted Feature Matrix to Establish Hidden Semantics in Web Documents

Digital Data is growing exponentially exploding on the 'World Wide Web'. The orthodox clustering algorithms obligate various challenges to tackle, of which the most often faced challenge is the uncertainty. Web documents...

Download PDF file
  • EP ID EP498534
  • DOI 10.14569/IJACSA.2019.0100332
  • Views 50
  • Downloads 0

How To Cite

Najm Us Sama, Kartinah Bt Zen, Atiq Ur Rahman, Aziz Ud Din (2019). Energy-Aware Routing Hole Detection Algorithm in the Hierarchical Wireless Sensor Network. International Journal of Advanced Computer Science & Applications, 10(3), 248-253. https://europub.co.uk/articles/-A-498534