Energy Balanced Routing Strategy in Wireless Sensor Networks

2010 ◽  
Author(s):  
Xiaoguang Zhang ◽  
Zheng Da Wu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Routing Strategy ◽  
Energy Balanced Routing

scholarly journals Autonomous Load Regulation Based Energy Balanced Routing in Rechargeable Wireless Sensor Networks

2019 ◽  
Vol 9 (16) ◽  
pp. 3251 ◽  
Author(s):  
Runze Wu ◽  
Haobo Guo ◽  
Liangrui Tang ◽  
Bing Fan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Wireless Sensor ◽  
Regulation Mechanism ◽  
Wireless Charging ◽  
Routing Strategy ◽  
Load Regulation ◽  
Energy Balanced Routing ◽  
Balancing Efficiency

Recent progress in wireless charging technologies has greatly promoted the development of rechargeable wireless sensor networks (RWSN). The network lifetime of RWSN can be commonly extended through routing strategy and wireless charging technology. However, the node accepts the relay request of its neighbor unconditionally, and it cannot remove its overload on its own in a timely manner in traditional routing strategies. The energy balancing efficiency of the network may be limited by this passive mechanism, which poses a great challenge to obtaining optimal joint efficiency of routing and charging strategies. In this paper, we propose an autonomous load regulation mechanism-based energy balanced routing algorithm (ALRMR) for RWSN. In addition to an efficient framework of joint wireless energy transfer and multi-hop routing where the routing strategy is adapted to the charging scheme, an innovative load regulation mechanism is proposed. Under this mechanism, each node can actively adjust its own load by controlling its relay radius. The simulation demonstrates the advantages of our algorithm for energy balance efficiency and improving the network lifetime through the charging scheme and the innovative mechanism.

Energy Balanced Routing Protocols for Wireless Sensor Networks

2020 ◽  
pp. 19-68
Author(s):  
Senchun Chai ◽  
Zhaoyang Wang ◽  
Baihai Zhang ◽  
Lingguo Cui ◽  
Runqi Chai
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocols ◽  
Wireless Sensor ◽  
Energy Balanced Routing

scholarly journals Balancing Energy Consumption with Hybrid Clustering and Routing Strategy in Wireless Sensor Networks

Sensors ◽  
2015 ◽  
Vol 15 (10) ◽  
pp. 26583-26605 ◽  
Author(s):  
Zhezhuang Xu ◽  
Liquan Chen ◽  
Ting Liu ◽  
Lianyang Cao ◽  
Cailian Chen
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Hybrid Clustering ◽  
Routing Strategy ◽  
Balancing Energy

Complex Wireless Sensor Network Routing Strategy for Information Rapid Transmission

2014 ◽  
Vol 1037 ◽  
pp. 201-204
Author(s):  
Zhan Gao ◽  
Qing Bo Zhu ◽  
Chun Mei Wei
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Information Transfer ◽  
Large Scale ◽  
Network Routing ◽  
Wireless Sensor ◽  
Node Degree ◽  
Routing Strategy

For wireless sensor networks for energy requirements are very high and limited node energy characteristics of wireless sensor networks to improve information transfer for the purpose of quick study proposes a wireless sensor network nodes spread weighted routing strategy. The simulation result were weighted node degree technical analysis, analysis of the advantages from the principle of routing policy change, thereby effectively increasing the network lifetime and improve the data transfer rate and reduce the transmission delay, is more suitable for large-scale wireless sensor network.

scholarly journals A Study on Multi-Hop Routing Scheme for Wireless Sensor Networks

2021 ◽  
Vol 31 (2) ◽  
pp. 1-9
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Performance ◽  
Base Stations ◽  
Wireless Sensor ◽  
Unequal Clustering ◽  
Clustering Problem ◽  
Performance Metric ◽  
Routing Strategy ◽  
Novel Method

Wireless sensor networks (WSN) play an important role in IoT (Internet of Things) as an interconnecting infrastructure. Working with a limited energy source, the vital challenge for WSN is to prolong the network lifetime as an important performance metric. Furthermore, the limitations of regular transmission technologies create localized network areas of a multi-hop fashion form that adds more constraints to enhance the network performance. Hence, the clustering strategies initially have solved these problems and received the attention of many studies, an approach using unequal clustering strategy has yielded some positive results since consumed energy gaps are avoided in regions near base stations. However, the routing strategy among cluster heads in multi-hop wireless networks is still a big challenge because of its inefficiency in energy consumption aspects. Therefore, in this paper, we propose a novel method that combining an unequal clustering problem and a simple multi-hop routing to prolong network life. The numerical results show that the proposed solution is more effective than other models in recent studies

scholarly journals Implementation of Enhanced AODV based Self-Organized Tree for Energy Balanced Routing in Wireless Sensor Networks

2020 ◽  
Vol 9 (3) ◽  
pp. 1926-1933
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Data Transmission ◽  
Cluster Head ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Self Organized ◽  
Energy Balanced Routing

Wireless sensor networks (WSN) are gaining attention in numerous fields with the advent of embedded systems and IoT. Wireless sensors are deployed in environmental conditions where human intervention is less or eliminated. Since these are not human monitored, powering and maintaining the energy of the node is a challenging issue. The main research hotspot in WSN is energy consumption. As energy drains faster, the network lifetime also decreases. Self-Organizing Networks (SON) are just the solution for the above-discussed problem. Self-organizing networks can automatically configure themselves, find an optimalsolution, diagnose and self-heal to some extent. In this work, “Implementation of Enhanced AODV based Self-Organized Tree for Energy Balanced Routing in Wireless Sensor Networks” is introduced which uses self-organization to balance energy and thus reduce energy consumption. This protocol uses combination of number of neighboring nodes and residual energy as the criteria for efficient cluster head election to form a tree-based cluster structure. Threshold for residual energy and distance are defined to decide the path of the data transmission which is energy efficient. The improvement made in choosing robust parameters for cluster head election and efficient data transmission results in lesser energy consumption. The implementation of the proposed protocol is carried out in NS2 environment. The experiment is conducted by varying the node density as 20, 40 and 60 nodes and with two pause times 5ms, 10ms. The analysis of the result indicates that the new system consumes 17.6% less energy than the existing system. The routing load, network lifetime metrics show better values than the existing system.

Machine Learning-based Congestion Control Routing Strategy for Healthcare IoT Enabled Wireless Sensor Networks

2021 ◽  
Author(s):  
Kamal Upreti ◽  
Nishant Kumar ◽  
Mohammad Shabbir Alam ◽  
Ankit Verma ◽  
Mauparna Nandan ◽  
...  
Keyword(s):  
Machine Learning ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Congestion Control ◽  
Wireless Sensor ◽  
Routing Strategy
Sign in / Sign up

Export Citation Format

Share Document