scholarly journals Prolonging the Lifetime of Two-Tiered Wireless Sensor Networks with Mobile Relays

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Theodore C. Kotsilieris ◽  
George T. Karetsos
Keyword(s):  
Energy Savings ◽  
Relay Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Relay Nodes ◽  
Large Numbers ◽  
Sensor Networking ◽  
Key Aspects ◽  
Networking Architectures ◽  
Mobile Relay

We propose a clustering scheme for wireless sensor nodes in hierarchical wireless sensor networking architectures that employs mobile relay nodes in order to achieve energy conservation and network lifetime prolongation. The key aspects of our scheme are relay node relocation and reclustering when failures are detected. The performance of the proposed approach is evaluated via simulations for various topology layouts based on the sensor node population and number of mobile relay nodes employed. The results show significant energy savings in particular for topologies with large numbers of sensors.

Performance Improvement of Clustered WSN by Using Multi-Tier Clustering

2016 ◽  
pp. 541-564
Author(s):  
Yogesh Kumar Meena ◽  
Aditya Trivedi
Keyword(s):  
Sensor Network ◽  
Power Management ◽  
Energy Savings ◽  
Network Models ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Security Systems ◽  
Sensor Networking ◽  
Technical Issues ◽  
Clustering Approach

In the last few decades, the Wireless Sensor Network (WSN) paradigm has received huge interest from the industry and academia. Wireless sensor networking is used in various fields like weather monitoring, wildfire detection/monitoring, battlefield surveillance, security systems, military applications, etc. Moreover, various networking and technical issues still need to be addressed for successful deployment of WSN, especially power management. In this chapter, the various methods of saving energy in sensor nodes and a method by which energy can be saved are discussed with emphasis on various energy saving protocols and techniques, and the improvement in the Performance of Clustered WSN by using Multi-tier Clustering. By using a two-tier architecture in the clustering and operation of sensor nodes, an increase in the network lifetime of the WSN is gained. Since this clustering approach has better results in term of energy savings and organizing the network, the main objective of this chapter is to describe power management techniques, two-tier architecture, clustering approaches, and network models to save the energy of a sensor network.

CONSTRAINED RELAY NODE DEPLOYMENT FOR UNDERWATER ACOUSTIC WIRELESS SENSOR NETWORKS

2012 ◽  
Vol 04 (01) ◽  
pp. 1250010 ◽  
Author(s):  
DEYING LI ◽  
ZHENG LI ◽  
WENKAI MA ◽  
WENPING CHEN
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Relay Node ◽  
Network Connectivity ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Relay Nodes ◽  
Underwater Acoustic ◽  
Node Deployment ◽  
Algorithm Framework

An underwater acoustic wireless sensor network (UA-WSN) consists of many resource-constrained underwater sensor nodes (USNs), which are deployed to perform collaborative monitoring tasks over a given region. One way to preserve network connectivity while guaranteeing other network QoS is to deploy some relay nodes (RNs) in the networks. Although RNs' function is more powerful than USNs, but they can lead to more interference and their cost is more expensive. This paper addresses constrained low-interference relay node deployment problem for 3-D UA-WSNs in which the RNs are placed at a subset of candidate locations to ensure connectivity between the USNs such that the number of RNs deployed and the value of total incremental interference are minimized. We first prove that it is NP-hard, then propose a general approximation algorithm framework. Based on the framework, we get two polynomial time O(1)-approximation algorithms.

Performance Improvement of Clustered WSN by Using Multi-Tier Clustering

2014 ◽  
pp. 365-388
Author(s):  
Yogesh Kumar Meena ◽  
Aditya Trivedi
Keyword(s):  
Sensor Network ◽  
Power Management ◽  
Energy Savings ◽  
Network Models ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Security Systems ◽  
Sensor Networking ◽  
Technical Issues ◽  
Clustering Approach

In the last few decades, the Wireless Sensor Network (WSN) paradigm has received huge interest from the industry and academia. Wireless sensor networking is used in various fields like weather monitoring, wildfire detection/monitoring, battlefield surveillance, security systems, military applications, etc. Moreover, various networking and technical issues still need to be addressed for successful deployment of WSN, especially power management. In this chapter, the various methods of saving energy in sensor nodes and a method by which energy can be saved are discussed with emphasis on various energy saving protocols and techniques, and the improvement in the Performance of Clustered WSN by using Multi-tier Clustering. By using a two-tier architecture in the clustering and operation of sensor nodes, an increase in the network lifetime of the WSN is gained. Since this clustering approach has better results in term of energy savings and organizing the network, the main objective of this chapter is to describe power management techniques, two-tier architecture, clustering approaches, and network models to save the energy of a sensor network.

Energy Efficient Clustering and Routing Algorithm for WSN

2019 ◽  
Vol 12 ◽  
Author(s):  
Mohit Kumar ◽  
Sonu Mittal ◽  
Md. Amir Khusru Akhtar
Keyword(s):  
Energy Consumption ◽  
Network Lifetime ◽  
Energy Efficient ◽  
Hot Spot ◽  
Routing Algorithm ◽  
Relay Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Efficient Clustering ◽  
Hot Spot Problem

Background: This paper presents a novel Energy Efficient Clustering and Routing Algorithm (EECRA) for WSN. It is a clustering-based algorithm that minimizes energy dissipation in wireless sensor networks. The proposed algorithm takes into consideration energy conservation of the nodes through its inherent architecture and load balancing technique. In the proposed algorithm the role of inter-cluster transmission is not performed by gateways instead a chosen member node of respective cluster is responsible for data forwarding to another cluster or directly to the sink. Our algorithm eases out the load of the gateways by distributing the transmission load among chosen sensor node which acts as a relay node for inter-cluster communication for that round. Grievous simulations show that EECRA is better than PBCA and other algorithms in terms of energy consumption per round and network lifetime. Objective: The objective of this research lies in its inherent architecture and load balancing technique. The sole purpose of this clustering-based algorithm is that it minimizes energy dissipation in wireless sensor networks. Method: This algorithm is tested with 100 sensor nodes and 10 gateways deployed in the target area of 300m × 300m. The round assumed in this simulation is same as in LEACH. The performance metrics used for comparisons are (a) network lifetime of gateways and (b) energy consumption per round by gateways. Our algorithm gives superior result compared to LBC, EELBCA and PBCA. Fig 6 and Fig 7 shows the comparison between the algorithms. Results: The simulation was performed on MATLAB version R2012b. The performance of EECRA is compared with some existing algorithms like PBCA, EELBCA and LBCA. The comparative analysis shows that the proposed algorithm outperforms the other existing algorithms in terms of network lifetime and energy consumption. Conclusion: The novelty of this algorithm lies in the fact that the gateways are not responsible for inter-cluster forwarding, instead some sensor nodes are chosen in every cluster based on some cost function and they act as a relay node for data forwarding. Note the algorithm does not address the hot-spot problem. Our next endeavor will be to design an algorithm with consideration of hot-spot problem.

scholarly journals A novel air quality monitoring and improvement system based on wireless sensor and actuator networks using LoRa communication

2021 ◽  
Vol 7 ◽  
pp. e711
Author(s):  
Truong Van Truong ◽  
Anand Nayyar ◽  
Mehedi Masud
Keyword(s):  
Air Quality ◽  
Loss Rate ◽  
Sensor Nodes ◽  
Quality Monitoring ◽  
Full Duplex ◽  
Wireless Sensor ◽  
Air Quality Monitoring ◽  
Relay Nodes ◽  
System Information ◽  
Online Software

In this paper, we study the air quality monitoring and improvement system based on wireless sensor and actuator network using LoRa communication. The proposed system is divided into two parts, indoor cluster and outdoor cluster, managed by a Dragino LoRa gateway. Each indoor sensor node can receive information about the temperature, humidity, air quality, dust concentration in the air and transmit them to the gateway. The outdoor sensor nodes have the same functionality, add the ability to use solar power, and are waterproof. The full-duplex relay LoRa modules which are embedded FreeRTOS are arranged to forward information from the nodes they manage to the gateway via uplink LoRa. The gateway collects and processes all of the system information and makes decisions to control the actuator to improve the air quality through the downlink LoRa. We build data management and analysis online software based on The Things Network and TagoIO platform. The system can operate with a coverage of 8.5 km, where optimal distances are established between sensor nodes and relay nodes and between relay nodes and gateways at 4.5 km and 4 km, respectively. Experimental results observed that the packet loss rate in real-time is less than 0.1% prove the effectiveness of the proposed system.

scholarly journals End-To-End Delay Optimization in Wireless Sensor Network (WSN)

2012 ◽  
pp. 247-251
Author(s):  
Shweta K. Kanhere ◽  
Mahesh Goudar ◽  
Vijay M. Wadhai
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Relay Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Packet Forwarding ◽  
Central System ◽  
Neighboring Node ◽  
Packet Delivery ◽  
End To End

In this paper, we are interested in optimizing the delay of event-driven wireless sensor networks, for which events does not occur frequently. In such systems, most of the energy is consumed when the radios are on, waiting for an arrival to occur. Sleep-wake scheduling is an effective mechanism to prolong the lifetime of this energy constrained wireless sensor networks by optimization of the delay in the network but this scheme could result in substantial delays because a transmitting node needs to wait for its next-hop relay node to wake up. An attempt has been made to reduce these delays by developing new method of packet forwarding schemes, where each nod opportunistically forwards a packet to the its neighboring node that wakes up among multiple candidate nodes. In this paper, the focus is to study how to optimize the packet forwarding schemes by optimization of the expected packet-delivery delays from the sensor nodes to the sink. Based on optimized delay scheme result, we then provide a solution to the central system about how to optimally control the system parameters of the sleep-wake scheduling protocol and the packet forwarding protocol to maximize the network lifetime, subject to a constraint on the expected end-to-end packet delivery delay. Our numerical results indicate that the proposed solution can outperform prior heuristic solutions in the literature, especially under the practical scenarios where there are obstructions, e.g., a lake or a mountain, in the area of wireless sensor networks.

Event Based Data Gathering in Wireless Sensor Networks

2012 ◽  
pp. 445-462 ◽  
Author(s):  
Asfandyar Khan ◽  
Azween Abdullah ◽  
Nurul Hasan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Energy Savings ◽  
Detection System ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Detection Model ◽  
Physical Environments ◽  
Event Based

Wireless sensor networks (WSANs) are increasingly being used and deployed to monitor the surrounding physical environments and detect events of interest. In wireless sensor networks, energy is one of the primary issues and requires the conservation of energy of the sensor nodes, so that network lifetime can be maximized. It is not recommended as a way to transmit or store all data of the sensor nodes for analysis to the end user. The purpose of this “Event Based Detection” Model is to simulate the results in terms of energy savings during field activities like a fire detection system in a remote area or habitat monitoring, and it is also used in security concerned issues. The model is designed to detect events (when occurring) of significant changes and save the data for further processing and transmission. In this way, the amount of transmitted data is reduced, and the network lifetime is increased. The main goal of this model is to meet the needs of critical condition monitoring applications and increase the network lifetime by saving more energy. This is useful where the size of the network increases. Matlab software is used for simulation.

scholarly journals Capacity-Preserved, Energy-Enhanced Hybrid Topology Management Scheme in Wireless Sensor Networks for Hazardous Applications

2011 ◽  
Vol 8 (1) ◽  
pp. 280932 ◽  
Author(s):  
A. Jawahar ◽  
S. Radha ◽  
R. Sharath Kumar
Keyword(s):  
Energy Savings ◽  
Network Capacity ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Topology Management ◽  
Network Parameters ◽  
Hybrid Topology ◽  
Management Scheme ◽  
Management Schemes ◽  
Great Energy

A wireless sensor network is composed of large number of sensor nodes and they are densely deployed in the field to monitor the environment, collect the data and route it to a sink. The main constraint is that the nodes in such a network have a battery of limited stored energy the network lifetime gets reduced. There are various topology management schemes such as SPAN, STEM, GAF, BEES and so forth, for improving network parameters such as capacity, lifetime, coverage and latency. These schemes do not improve all the mentioned network parameters. Sustainable Physical Activity in Neighbourhood (SPAN) scheme, preserves network capacity, decreases latency but provides less energy savings. Sparse Topology and Energy Management (STEM) scheme does not preserve capacity resulting in great energy savings and high latency. In the proposed scheme, new coordinator rule is implemented in SPAN, and then integrated with STEM. It is observed that the energy conserved increases by about 3.18% to 4.17% without sacrificing network capacity. Due to definite path in the proposed scheme the latency is reduced by almost half the latency of STEM scheme.

scholarly journals A Novel Cooperative ARQ Method for Wireless Sensor Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Haiyong Wang ◽  
Geng Yang ◽  
Yiran Gu ◽  
Jian Xu ◽  
Zhixin Sun
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Markov Chain Model ◽  
Relay Node ◽  
Wireless Sensor ◽  
System Throughput ◽  
Chain Model ◽  
Channel Fading ◽  
Relay Nodes

In wireless sensor networks, cooperative communication can combat the effects of channel fading by exploiting diversity gain achieved via cooperation communication among the relay nodes. A cooperative automatic retransmission request (ARQ) protocol based on two-relay node selection was proposed in this paper. A novel discrete time Markov chain model in order to analyze the throughput and energy efficiency was built, and system throughput and energy efficiency performance of proposed protocol and traditional ARQ protocol were studied based on such model. The numerical results reveal that the throughput and energy efficiency of the proposed protocol could perform better when compared with the traditional ARQ protocol.

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