Collating and Analysing State-of-the-Art Hierarchical Routing Protocols in WSN to Increase Network Lifetime and Conserve Energy

2017 ◽  
Author(s):  
Syed Bilal Hussian Shah ◽  
Yin Fuliang ◽  
Inam Ullah Khan ◽  
Chen Zhe ◽  
Muhammad Zakarya
Keyword(s):  
Network Lifetime ◽  
Routing Protocols ◽  
State Of The Art ◽  
Hierarchical Routing

scholarly journals Machine Learning-Based Optimized Hierarchical Routing Protocols for WSN Lifetime: A Review

2021 ◽  
Vol 9 (2) ◽  
pp. 289-307
Author(s):  
P.Suman Prakash, Et. al.
Keyword(s):  
Machine Learning ◽  
Network Lifetime ◽  
Routing Protocols ◽  
Hierarchical Routing ◽  
Future Directions ◽  
Transmission Delays ◽  
Wsn Lifetime ◽  
Lifetime Optimization ◽  
Efficient Data ◽  
Management Schemes

In Wireless Sensor Networks, network lifetime optimization has challenging and significant issue. Subsequently, most of the existing works delineate several factors to improve the network lifetime: by decreasing the amount of the consumption of energy, reducing latency, load balancing, clustering, efficient data aggregating and by minimizing the data transmission delays. This paper provides a review of recent techniques and presents a Machine Learning-based Optimized Hierarchical Routing Protocols for WSN Lifetime. Research has been done, and reviews have been studied to explore the energy management schemes using optimized routing approach and Machine Learning Adaptability for WSN’s. Further, recommend future directions related to the Optimized Clustering Approaches to enhance wsn lifetime.  

Enhanced Adaptive Distributed Energy-Efficient Clustering (EADEEC) for Wireless Sensor Networks

2020 ◽  
Vol 13 (2) ◽  
pp. 168-172
Author(s):  
Ravi Kumar Poluru ◽  
M. Praveen Kumar Reddy ◽  
Syed Muzamil Basha ◽  
Rizwan Patan ◽  
Suresh Kallam
Keyword(s):  
Network Lifetime ◽  
Routing Protocols ◽  
Energy Efficient ◽  
High Energy ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Distributed Energy ◽  
Stability Period ◽  
Energy Efficient Clustering

Background:Recently Wireless Sensor Network (WSN) is a composed of a full number of arbitrarily dispensed energy-constrained sensor nodes. The sensor nodes help in sensing the data and then it will transmit it to sink. The Base station will produce a significant amount of energy while accessing the sensing data and transmitting data. High energy is required to move towards base station when sensing and transmitting data. WSN possesses significant challenges like saving energy and extending network lifetime. In WSN the most research goals in routing protocols such as robustness, energy efficiency, high reliability, network lifetime, fault tolerance, deployment of nodes and latency. Most of the routing protocols are based upon clustering has been proposed using heterogeneity. For optimizing energy consumption in WSN, a vital technique referred to as clustering.Methods:To improve the lifetime of network and stability we have proposed an Enhanced Adaptive Distributed Energy-Efficient Clustering (EADEEC).Results:In simulation results describes the protocol performs better regarding network lifetime and packet delivery capacity compared to EEDEC and DEEC algorithm. Stability period and network lifetime are improved in EADEEC compare to DEEC and EDEEC.Conclusion:The EADEEC is overall Lifetime of a cluster is improved to perform the network operation: Data transfer, Node Lifetime and stability period of the cluster. EADEEC protocol evidently tells that it improved the throughput, extended the lifetime of network, longevity, and stability compared with DEEC and EDEEC.

scholarly journals State of the Art Routing Protocols in VANETs: A Review

2018 ◽  
Vol 130 ◽  
pp. 689-694 ◽  
Author(s):  
Ishtiaq Wahid ◽  
Ataul Aziz Ikram ◽  
Masood Ahmad ◽  
Sajjad Ali ◽  
Arshad Ali
Keyword(s):  
Routing Protocols ◽  
State Of The Art

scholarly journals Energy Efficient TABU Optimization Routing Protocol for WSN

2020 ◽  
Vol 16 (3) ◽  
pp. 1-31
Author(s):  
Varsha Shani ◽  
Manju Bala ◽  
Manoj Kumar ◽  
Neeraj Kumar
Keyword(s):  
Network Lifetime ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Hybrid Technique ◽  
Energy Efficient Routing ◽  
Search Mechanism ◽  
Average Residual ◽  
Heuristic Technique ◽  
The Impact

Introduction: This article is the result of the research “Energy efficient routing protocols in wireless sensor network: Examine the impact of M-SEEC routing protocols on the lifetime of WSN with an energy efficient TABU optimization routing protocol”developed in the IKG, Punjab Technical University, India in 2019.Problem: The task of finding and maintaining routes in WSNs is non-trivialsince energy restrictions and sudden changes in node status cause frequent and unpredictable changes.Objective: The objective of this paper is to propose an energy efficient heterogeneous protocolwith the help of a hybrid meta-heuristic technique.Methodology: In the hybrid meta-heuristic technique, the shortest route has been selected and the data forwarded to the sink in a minimal time span,savingenergy and making the network more stable. To evaluate the technique, a new hybrid technique has been created where the data transmission is implemented from the beginning under MATLAB 2013a.Results: The proposed technique is better than the existing ones since the remaining energy in the network is increased by 62% compared to normal nodes in MSEEC, 65% compared to advanced nodes in MSEEC and 70% compared to super nodes in MSEEC. The network lifetime was also enhanced by 70.8% compared to MSEEC.Conclusion: The proposed protocol was found to be superior based on the average residual energy.This paper proposes an efficient routing mechanism towards the energy efficient network.Originality: Through this research, a novel version of MSEEC protocol is carried out using the TABU search mechanism to generate the functions of two neighbourhoods to detect the optimum path with the aim of maximizing the network lifetime in an area of 200×200m2.Limitations: The lack of other routing techniques falls under swarm intelligence.

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