Novel energy effcient protocols with realistic radio propagation models for wireless sensor networks in agriculture
A wireless sensor network (WSN) is an emerging technology that enables a variety of possible applications. The performance of a WSN depends on many factors such as the physical layer parameters (i.e. transmission power and frequency selection), and the communication protocols (MAC and routing protoc...
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my-unimap-313022014-01-19T07:31:12Z Novel energy effcient protocols with realistic radio propagation models for wireless sensor networks in agriculture Latifah Munirah, Kamarudin A wireless sensor network (WSN) is an emerging technology that enables a variety of possible applications. The performance of a WSN depends on many factors such as the physical layer parameters (i.e. transmission power and frequency selection), and the communication protocols (MAC and routing protocols). Accounting for these factors, the technical challenges remain in designing and deploying a robust WSN with limited energy supplies in a harsh environmental condition, where the unreliability of wireless propagation channel restricts the performance of the sensor node. Researchers have invested a lot of time and e ort into developing high performance communication protocols to meet the growing challenges of WSN. However, there is still no approach that is able to meet the requirements and challenges of agriculture application, especially in realistic simulation design of WSN protocols. This thesis focuses on the simulation of the proposed novel energy efficient protocols that are robust to variations in the radio propagation environment. The proposed protocols ensure the connectivity between the cluster members and cluster head (CH), applicable for dense networks, low network overhead and most importantly, energy e cient. To address this, an actual measurement on vegetation attenuation is carried out to ascertain the best propagation model for WSN protocol design and evaluation in a simulation platform. Based on these models, a MAC layer algorithm designed for clustering protocols such as LEACH, called AgriMAC is proposed, and it is combined with dynamic transmit power control algorithm, DytCon. The performances of these algorithms are compared with LEACH in term of energy e ciency and network lifetime. Results show that the performance of these algorithms achieves a substantial improvement in network lifetime compared to LEACH. AgriMAC eliminates the penalty of having more cluster heads to the network lifetime, where a steady performance is achieved when the number of cluster is between 4 and 10 with approximately 4:8% improvements over the maximum net- work lifetime achieves by LEACH. In order to solve various issues of LEACH clustering protocol such as unbalanced network partitioning and variable number of cluster heads per round, a novel energy eficient clustering protocol, DynClust is proposed. The protocol combines a machine learning technique called k-means, where it groups the nodes into clusters with AgriMAC and DytCon to optimize the network lifetime. DynClust exhibits vital properties such as robustness against variations in the radio propagation environment, a very low control overhead, simple and yet e cient. The protocol improves LEACH in term of cluster distribution and cluster membership. From the simulation results, DynClust achieves approximately 318% improvements over LEACH in term of network lifetime in various prop- agation environments. These allow the possibility of WSN to be simulated accurately in dynamic and harsh agriculture applications. Universiti Malaysia Perlis (UniMAP) 2012 Thesis en http://dspace.unimap.edu.my:80/dspace/handle/123456789/31302 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31302/1/Page%201-24.pdf c292ca0f21cfca21af350f050519f426 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31302/2/Full%20text.pdf 852389412c9e656a6a2a291d078efbe9 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31302/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 Wireless sensor network (WSN) Wireless communication Energy efficient protocols WSN in agriculture Radio propagation School of Computer and Communication Engineering |
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Universiti Malaysia Perlis |
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Wireless sensor network (WSN) Wireless communication Energy efficient protocols WSN in agriculture Radio propagation |
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Wireless sensor network (WSN) Wireless communication Energy efficient protocols WSN in agriculture Radio propagation Latifah Munirah, Kamarudin Novel energy effcient protocols with realistic radio propagation models for wireless sensor networks in agriculture |
description |
A wireless sensor network (WSN) is an emerging technology that enables a variety of possible applications. The performance of a WSN depends on many factors such as the physical layer parameters (i.e. transmission power and frequency selection), and the communication protocols (MAC and routing protocols). Accounting for these factors, the technical challenges remain in designing and deploying a robust WSN with limited energy supplies in a harsh environmental condition, where the unreliability of
wireless propagation channel restricts the performance of the sensor node. Researchers have invested a lot of time and e ort into developing high performance communication protocols to meet the growing challenges of WSN. However, there is still no approach that is able to meet the requirements and challenges of agriculture application, especially in realistic simulation design of WSN protocols. This thesis focuses on the simulation of the proposed novel energy efficient protocols that are robust to variations in the radio propagation environment. The proposed protocols ensure the connectivity between the cluster members and cluster head (CH), applicable for dense networks, low network overhead and most importantly, energy e cient. To address this, an actual measurement on vegetation attenuation
is carried out to ascertain the best propagation model for WSN protocol design and evaluation in a simulation platform. Based on these models, a MAC layer algorithm designed for clustering protocols such as LEACH, called AgriMAC is proposed, and it is combined with dynamic transmit power control algorithm, DytCon. The performances of these algorithms are compared with LEACH in term of energy e ciency and network lifetime. Results show that the performance of these algorithms achieves
a substantial improvement in network lifetime compared to LEACH. AgriMAC eliminates the penalty of having more cluster heads to the network lifetime, where a steady performance is achieved when the number of cluster is between 4 and 10 with approximately 4:8% improvements over the maximum net-
work lifetime achieves by LEACH. In order to solve various issues of LEACH clustering protocol such as unbalanced network partitioning and variable number of cluster heads per round, a novel energy eficient clustering protocol, DynClust is proposed. The protocol combines a machine learning technique called k-means, where it groups the nodes into clusters with AgriMAC and DytCon to optimize the
network lifetime. DynClust exhibits vital properties such as robustness against variations in the radio propagation environment, a very low control overhead, simple and yet e cient. The protocol improves
LEACH in term of cluster distribution and cluster membership. From the simulation results, DynClust
achieves approximately 318% improvements over LEACH in term of network lifetime in various prop-
agation environments. These allow the possibility of WSN to be simulated accurately in dynamic and
harsh agriculture applications. |
format |
Thesis |
author |
Latifah Munirah, Kamarudin |
author_facet |
Latifah Munirah, Kamarudin |
author_sort |
Latifah Munirah, Kamarudin |
title |
Novel energy effcient protocols with realistic radio propagation models for wireless sensor networks in agriculture |
title_short |
Novel energy effcient protocols with realistic radio propagation models for wireless sensor networks in agriculture |
title_full |
Novel energy effcient protocols with realistic radio propagation models for wireless sensor networks in agriculture |
title_fullStr |
Novel energy effcient protocols with realistic radio propagation models for wireless sensor networks in agriculture |
title_full_unstemmed |
Novel energy effcient protocols with realistic radio propagation models for wireless sensor networks in agriculture |
title_sort |
novel energy effcient protocols with realistic radio propagation models for wireless sensor networks in agriculture |
granting_institution |
Universiti Malaysia Perlis (UniMAP) |
granting_department |
School of Computer and Communication Engineering |
url |
http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31302/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/31302/2/Full%20text.pdf |
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