scholarly journals Energy Efficiency and QoS Enhancement for Wireless Sensor Networks with Applications to Long-Narrow Structures

2015 ◽  
Vol 2015 ◽  
pp. 1-10
Author(s):  
Chengming Luo ◽  
Wei Li ◽  
Hai Yang ◽  
Gaifang Xin ◽  
Baohua Ying
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Aggregation ◽  
Network Survivability ◽  
Base Stations ◽  
Wireless Sensor ◽  
Routing Strategy ◽  
Narrow Structure ◽  
Better Than

There is a class of special environments, such as roads, mines tunnels, rivers, bridges, and pipelines, whose geographical shapes are long-narrow for several hundred meters. Wireless sensor networks (WSN) can be applied to monitor these environments. Long-narrow structure makes the WSN face plenty of challenges, such as unbalanced energy consumption and data aggregation. This paper proposes a nonuniform symmetric cluster model (NUSCM) using reasonable coverage routing controlling. The NUSCM consists of two base stations, sensor node clusters (SNCs) and transmission node clusters (TNCs), which can make the sensor networks be scalable to cover various long-narrow structures. Hierarchical nodes spacing and routing strategy of NUSCM are addressed. Furthermore, we simulate the proposed NUSCM, in comparison with the nonuniform deployment with two base stations (NUD-TBS) and uniform deployment with two base stations (UD-TBS). Research results indicate that the NUSCM and NUD-TBS have the same energy efficiency, which are better than that of UD-TBS. Moreover, NUSCM is superior to the UD-TBS and NUD-TBS in the link communication load and network survivability.

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 On the Optimization of a Probabilistic Data Aggregation Framework for Energy Efficiency in Wireless Sensor Networks

Sensors ◽  
2015 ◽  
Vol 15 (8) ◽  
pp. 19597-19617 ◽  
Author(s):  
Stella Kafetzoglou ◽  
Giorgos Aristomenopoulos ◽  
Symeon Papavassiliou
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Aggregation ◽  
Wireless Sensor ◽  
Probabilistic Data

A Self-Configurable Event Coverage Approach for Wireless Sensor Networks

2019 ◽  
Vol 10 (2) ◽  
pp. 1-18 ◽  
Author(s):  
Ajay Kaushik ◽  
Ravi Teja Yakkali ◽  
S. Indu ◽  
Feroz Ahmed ◽  
Daya Gupta ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Aggregation ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Optimum Number ◽  
Event Location ◽  
Square Cells ◽  
Event Based ◽  
Better Than

Sensing and data aggregation capabilities of wireless sensor networks (WSNs) depends on efficient deployment of sensor nodes (SNs) in an area. In a large surveillance space, there is a need for more SNs to cover important crucial events despite of the optimum coverage. The authors propose an event-based efficient deployment algorithm (EEDA) for relocation of redundant sensors to the event location to achieve full coverage. They divide the deployment region into small square cells that allows individual cells to be efficiently monitored, instead of considering the whole scenario as one unit. EEDA ensures efficient coverage of the entire deployment region and senses the occurrence of any static or dynamic event with an optimum number of sensors. EEDA with square cells performs better than existing hexagon cell algorithm by 39%. EEDA is validated by simulation as well as by experimental results.

scholarly journals EECDA: Energy Efficient Clustering and Data Aggregation Protocol for Heterogeneous Wireless Sensor Networks

2011 ◽  
Vol 6 (1) ◽  
pp. 113 ◽  
Author(s):  
Dilip Kumar ◽  
Trilok C. Aseri ◽  
R.B. Patel
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Data Aggregation ◽  
Energy Efficient ◽  
Data Gathering ◽  
Wireless Sensor ◽  
Energy Efficient Clustering

In recent years, energy efficiency and data gathering is a major concern in many applications of Wireless Sensor Networks (WSNs). One of the important issues in WSNs is how to save the energy consumption for prolonging the network lifetime. For this purpose, many novel innovative techniques are required to improve the energy efficiency and lifetime of the network. In this paper, we propose a novel Energy Efficient Clustering and Data Aggregation (EECDA) protocol for the heterogeneous WSNs which combines the ideas of energy efficient cluster based routing and data aggregation to achieve a better performance in terms of lifetime and stability. EECDA protocol includes a novel cluster head election technique and a path would be selected with maximum sum of energy residues for data transmission instead of the path with minimum energy consumption. Simulation results show that EECDA balances the energy consumption and prolongs the network lifetime by a factor of 51%, 35% and 10% when compared with Low-Energy Adaptive Clustering Hierarchy (LEACH), Energy Efficient Hierarchical Clustering Algorithm (EEHCA) and Effective Data Gathering Algorithm (EDGA), respectively.

Energy-Efficient and Secure Data Forwarding Mechanism for Balancing Cluster Lifetime for Huge Size Wireless Sensor Networks

2019 ◽  
Vol 16 (9) ◽  
pp. 3961-3964
Author(s):  
Charu Sharma ◽  
Rohit Vaid
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Aggregation ◽  
Energy Efficient ◽  
Base Station ◽  
Packet Transmission ◽  
Sensor Nodes ◽  
Sensor Data ◽  
Wireless Sensor

In designing Wireless Sensor Networks, energy efficiency and security should be considered very critically. Energy efficiency is achieved through data aggregation which eliminates the transmission of redundant data while security is achieved by preserving confidentiality among sensor node and the base station. In this paper, an energy efficient and secure cluster based aggregation mechanism is presented. In this model, for energy efficiency the network is divided into tracks and sectors so the cluster head’s are uniformly selected from the whole network. To achieve security the cluster head’s perform data aggregation with the help of some pattern codes and only distinctive data is transmitted from sensor nodes in encrypted form. To perform aggregation, the sensor nodes do not need to know about the actual sensor data therefore there is no need to use any encryption or decryption schemes between nodes and cluster head. Performance evaluation shows proposed model works better to enhance the network lifetime, security, average residual energy, and average packet transmission ratio than conventional data aggregation models.

Sign in / Sign up

Export Citation Format

Share Document