Nada Al-Humidi | Swami Ramanand Teerth Marathwada University, Nanded (original) (raw)

Papers by Nada Al-Humidi

Advances in intelligent systems and computing, Sep 13, 2018

Routing in wireless sensor networks (WSNs) has a primary task for data transfer from source to th... more Routing in wireless sensor networks (WSNs) has a primary task for data transfer from source to the sink. Due to restricted battery power of the sensor nodes, there is a necessity to take in consideration while designing a routing protocol in WSNs the power saving of sensor nodes. Several routing protocols employing hierarchical-based clustering technique have been proposed for WSNs, however most of them still have such challenges which can be represented in minimizing the energy consumption and maximizing the network lifetime, simultaneously. In this paper, an improved method EACCC is proposed by extending the centralized clustering technique in order to achieve higher efficiency for energy, longer lifespan of network and network scalability. The performance of EACCC is evaluated and justified through extensive analysis, analytical proof, comparison, and implementation. The results show that the proposed method is highly efficient and effective in term of balancing the consumption of energy and prolonging network lifetime.

Social Science Research Network, 2019

Wireless sensor networks are applied to collect the required data by using radio wireless communi... more Wireless sensor networks are applied to collect the required data by using radio wireless communication. Data generated from neighboring sensor nodes is highly related and redundant which resulting in high traffic load, the end to end delay, and subsequently, consuming more energy and decreasing the lifetime of the network. Hence, there is a dire need to propose a scheme for transmitting the sensing data in high-quality information, reducing the number of packets transmitted and at the same time conservation of energy. This can be accomplished by data aggregation technique. In this paper, a lightweight data transmission scheme based on data aggregation technique is proposed. The proposed scheme aims to collect data from the sources and makes it available to the sink in an energy efficient way with minimum data latency. The performance of the proposed scheme is evaluated through analysis, comparison, and simulation. The results show that the proposed scheme is highly efficient, and it has a better performance in term of energy saving, end-to-end delay, and throughput.

International Journal of Intelligent Systems Design and Computing, 2018

Power and resource limitations of the sensor nodes, the possibility of packet loss and delay are ... more Power and resource limitations of the sensor nodes, the possibility of packet loss and delay are the requirements should be considered while designing routing protocol for the wireless sensor network. To meet and achieve these requirements, several routing techniques have been proposed. Clustering-based routing protocol puts a network structure to satisfy energy efficiency, stability and scalability of the network. In such protocols, the network is organised into clusters in which one node will be selected as a cluster head for the cluster. Selecting cluster head and forming the clusters are the key issues in these protocols, as a result, many routing protocols-based clustering have been proposed. With the objective of solving of these issues, reducing the energy consumption and extending the lifetime of the network, in this paper, energy efficiency-based clustering and particle swarm optimisation (EECPSO) method is proposed. EECPSO performance is evaluated and justified through extensive analysis, comparison and implementation. The results show that the proposed method is highly efficient and effective in term of balancing the consumption of energy and prolonging network lifetime.

SSRN Electronic Journal, 2019

Wireless sensor networks are applied to collect the required data by using radio wireless communi... more Wireless sensor networks are applied to collect the required data by using radio wireless communication. Data generated from neighboring sensor nodes is highly related and redundant which resulting in high traffic load, the end to end delay, and subsequently, consuming more energy and decreasing the lifetime of the network. Hence, there is a dire need to propose a scheme for transmitting the sensing data in high-quality information, reducing the number of packets transmitted and at the same time conservation of energy. This can be accomplished by data aggregation technique. In this paper, a lightweight data transmission scheme based on data aggregation technique is proposed. The proposed scheme aims to collect data from the sources and makes it available to the sink in an energy efficient way with minimum data latency. The performance of the proposed scheme is evaluated through analysis, comparison, and simulation. The results show that the proposed scheme is highly efficient, and it has a better performance in term of energy saving, end-to-end delay, and throughput.

Advances in Intelligent Systems and Computing, 2018

Routing in wireless sensor networks (WSNs) has a primary task for data transfer from source to th... more Routing in wireless sensor networks (WSNs) has a primary task for data transfer from source to the sink. Due to restricted battery power of the sensor nodes, there is a necessity to take in consideration while designing a routing protocol in WSNs the power saving of sensor nodes. Several routing protocols employing hierarchical-based clustering technique have been proposed for WSNs, however most of them still have such challenges which can be represented in minimizing the energy consumption and maximizing the network lifetime, simultaneously. In this paper, an improved method EACCC is proposed by extending the centralized clustering technique in order to achieve higher efficiency for energy, longer lifespan of network and network scalability. The performance of EACCC is evaluated and justified through extensive analysis, analytical proof, comparison, and implementation. The results show that the proposed method is highly efficient and effective in term of balancing the consumption of energy and prolonging network lifetime.

SSRN Proceedings of International Conference on Communication and Information Processing (ICCIP) 2019, 2019

Wireless sensor networks are applied to collect the required data by using radio wireless communi... more Wireless sensor networks are applied to collect the required data by using radio wireless communication. Data generated from neighboring sensor nodes is highly related and redundant which resulting in high traffic load, the end to end delay, and subsequently, consuming more energy and decreasing the lifetime of the network. Hence, there is a dire need to propose a scheme for transmitting the sensing data in high-quality information, reducing the number of packets transmitted and at the same time conservation of energy. This can be accomplished by data aggregation technique. In this paper, a lightweight data transmission scheme based on data aggregation technique is proposed. The proposed scheme aims to collect data from the sources and makes it available to the sink in an energy efficient way with minimum data latency. The performance of the proposed scheme is evaluated through analysis, comparison, and simulation. The results show that the proposed scheme is highly efficient, and it has a better performance in term of energy saving, end-to-end delay, and throughput.

International Journal of Intelligent Systems Design and Computing, 2018

Power and resource limitations of the sensor nodes, the possibility of packet loss and delay are ... more Power and resource limitations of the sensor nodes, the possibility of packet loss and delay are the requirements should be considered while designing routing protocol for the wireless sensor network. To meet and achieve these requirements, several routing techniques have been proposed. Clustering-based routing protocol puts a network structure to satisfy energy efficiency, stability and scalability of the network. In such protocols, the network is organised into clusters in which one node will be selected as a cluster head for the cluster. Selecting cluster head and forming the clusters are the key issues in these protocols, as a result, many routing protocols-based clustering have been proposed. With the objective of solving of these issues, reducing the energy consumption and extending the lifetime of the network, in this paper, energy efficiency-based clustering and particle swarm optimisation (EECPSO) method is proposed. EECPSO performance is evaluated and justified through extensive analysis, comparison and implementation. The results show that the proposed method is highly efficient and effective in term of balancing the consumption of energy and prolonging network lifetime.

Springer, Singapore, 2018

Routing in wireless sensor networks (WSNs) has a primary task for data transfer from source to th... more Routing in wireless sensor networks (WSNs) has a primary task for data transfer from source to the sink. Due to restricted battery power of the sensor nodes, there is a necessity to take in consideration while designing a routing protocol in WSNs the power saving of sensor nodes. Several routing protocols employing hierarchical-based clustering technique have been proposed for WSNs, however most of them still have such challenges which can be represented in minimizing the energy consumption and maximizing the network lifetime, simultaneously. In this paper, an improved method EACCC is proposed by extending the centralized clustering technique in order to achieve higher efficiency for energy, longer lifespan of network and network scalability. The performance of EACCC is evaluated and justified through extensive analysis, analytical proof, comparison, and implementation. The results show that the proposed method is highly efficient and effective in term of balancing the consumption of energy and prolonging network lifetime.

Wireless sensor networks (WSNs) are consisted of low cost and power-constrained sensor nodes. The... more Wireless sensor networks (WSNs) are consisted of low cost and power-constrained sensor nodes. The limited battery power of sensor nodes is the important key challenge to achieving minimum energy consumption to maximize network lifetime. Hierarchical cluster-based routing protocols are one of the most efficient routing protocols in WSNs, because of its higher energy efficiency, lower data retransmission, and network scalability. Low Energy Adaptive Clustering Hierarchy (LEACH) is a clustering based protocol which improves the lifetime of WSNs.In order to meet the challenges, issues and the different methods which are proposed to solve them, in this paper, a brief introduction to routing challenges in WSNs, the basic classification of routing protocols are introduced, also a comparative analysis using a parameters such as a scheme using, hop count, advantages, and disadvantages of protocols has been presented.

EECCMC, 2018

The restricted power of the sensor nodes in wireless sensor networks (WSNs) delegates the design ... more The restricted power of the sensor nodes in wireless sensor networks (WSNs) delegates the design of energy-efficient communication protocol. As a result, many algorithms were proposed to balance the spent on energy in sensor nodes. In order to reduce the energy consumption, minimize the data transmission, and maximize the lifespan of the network, the clustering algorithm is the most efficient technique, the selecting of the cluster head and forming the clusters are the key issues in this technique. In this paper, a proposed scheme OCPSO is suggested by extending the centralized algorithm along with the particle swarm optimization (PSO) with the aim of selecting an optimal cluster head among the eligible cluster heads and forming the appropriate clusters. The performance of our proposed scheme is evaluated through analysis, comparison, and implementation. The results show that the proposed scheme is highly efficient, and it has a better performance in term of energy saving, increasing the number of alive sensor nodes, and prolonging the lifespan of the network.

Advances in intelligent systems and computing, Sep 13, 2018

Routing in wireless sensor networks (WSNs) has a primary task for data transfer from source to th... more Routing in wireless sensor networks (WSNs) has a primary task for data transfer from source to the sink. Due to restricted battery power of the sensor nodes, there is a necessity to take in consideration while designing a routing protocol in WSNs the power saving of sensor nodes. Several routing protocols employing hierarchical-based clustering technique have been proposed for WSNs, however most of them still have such challenges which can be represented in minimizing the energy consumption and maximizing the network lifetime, simultaneously. In this paper, an improved method EACCC is proposed by extending the centralized clustering technique in order to achieve higher efficiency for energy, longer lifespan of network and network scalability. The performance of EACCC is evaluated and justified through extensive analysis, analytical proof, comparison, and implementation. The results show that the proposed method is highly efficient and effective in term of balancing the consumption of energy and prolonging network lifetime.

Social Science Research Network, 2019

Wireless sensor networks are applied to collect the required data by using radio wireless communi... more Wireless sensor networks are applied to collect the required data by using radio wireless communication. Data generated from neighboring sensor nodes is highly related and redundant which resulting in high traffic load, the end to end delay, and subsequently, consuming more energy and decreasing the lifetime of the network. Hence, there is a dire need to propose a scheme for transmitting the sensing data in high-quality information, reducing the number of packets transmitted and at the same time conservation of energy. This can be accomplished by data aggregation technique. In this paper, a lightweight data transmission scheme based on data aggregation technique is proposed. The proposed scheme aims to collect data from the sources and makes it available to the sink in an energy efficient way with minimum data latency. The performance of the proposed scheme is evaluated through analysis, comparison, and simulation. The results show that the proposed scheme is highly efficient, and it has a better performance in term of energy saving, end-to-end delay, and throughput.

International Journal of Intelligent Systems Design and Computing, 2018

Power and resource limitations of the sensor nodes, the possibility of packet loss and delay are ... more Power and resource limitations of the sensor nodes, the possibility of packet loss and delay are the requirements should be considered while designing routing protocol for the wireless sensor network. To meet and achieve these requirements, several routing techniques have been proposed. Clustering-based routing protocol puts a network structure to satisfy energy efficiency, stability and scalability of the network. In such protocols, the network is organised into clusters in which one node will be selected as a cluster head for the cluster. Selecting cluster head and forming the clusters are the key issues in these protocols, as a result, many routing protocols-based clustering have been proposed. With the objective of solving of these issues, reducing the energy consumption and extending the lifetime of the network, in this paper, energy efficiency-based clustering and particle swarm optimisation (EECPSO) method is proposed. EECPSO performance is evaluated and justified through extensive analysis, comparison and implementation. The results show that the proposed method is highly efficient and effective in term of balancing the consumption of energy and prolonging network lifetime.

SSRN Electronic Journal, 2019

Wireless sensor networks are applied to collect the required data by using radio wireless communi... more Wireless sensor networks are applied to collect the required data by using radio wireless communication. Data generated from neighboring sensor nodes is highly related and redundant which resulting in high traffic load, the end to end delay, and subsequently, consuming more energy and decreasing the lifetime of the network. Hence, there is a dire need to propose a scheme for transmitting the sensing data in high-quality information, reducing the number of packets transmitted and at the same time conservation of energy. This can be accomplished by data aggregation technique. In this paper, a lightweight data transmission scheme based on data aggregation technique is proposed. The proposed scheme aims to collect data from the sources and makes it available to the sink in an energy efficient way with minimum data latency. The performance of the proposed scheme is evaluated through analysis, comparison, and simulation. The results show that the proposed scheme is highly efficient, and it has a better performance in term of energy saving, end-to-end delay, and throughput.

Advances in Intelligent Systems and Computing, 2018

Routing in wireless sensor networks (WSNs) has a primary task for data transfer from source to th... more Routing in wireless sensor networks (WSNs) has a primary task for data transfer from source to the sink. Due to restricted battery power of the sensor nodes, there is a necessity to take in consideration while designing a routing protocol in WSNs the power saving of sensor nodes. Several routing protocols employing hierarchical-based clustering technique have been proposed for WSNs, however most of them still have such challenges which can be represented in minimizing the energy consumption and maximizing the network lifetime, simultaneously. In this paper, an improved method EACCC is proposed by extending the centralized clustering technique in order to achieve higher efficiency for energy, longer lifespan of network and network scalability. The performance of EACCC is evaluated and justified through extensive analysis, analytical proof, comparison, and implementation. The results show that the proposed method is highly efficient and effective in term of balancing the consumption of energy and prolonging network lifetime.

SSRN Proceedings of International Conference on Communication and Information Processing (ICCIP) 2019, 2019

Wireless sensor networks are applied to collect the required data by using radio wireless communi... more Wireless sensor networks are applied to collect the required data by using radio wireless communication. Data generated from neighboring sensor nodes is highly related and redundant which resulting in high traffic load, the end to end delay, and subsequently, consuming more energy and decreasing the lifetime of the network. Hence, there is a dire need to propose a scheme for transmitting the sensing data in high-quality information, reducing the number of packets transmitted and at the same time conservation of energy. This can be accomplished by data aggregation technique. In this paper, a lightweight data transmission scheme based on data aggregation technique is proposed. The proposed scheme aims to collect data from the sources and makes it available to the sink in an energy efficient way with minimum data latency. The performance of the proposed scheme is evaluated through analysis, comparison, and simulation. The results show that the proposed scheme is highly efficient, and it has a better performance in term of energy saving, end-to-end delay, and throughput.

International Journal of Intelligent Systems Design and Computing, 2018

Power and resource limitations of the sensor nodes, the possibility of packet loss and delay are ... more Power and resource limitations of the sensor nodes, the possibility of packet loss and delay are the requirements should be considered while designing routing protocol for the wireless sensor network. To meet and achieve these requirements, several routing techniques have been proposed. Clustering-based routing protocol puts a network structure to satisfy energy efficiency, stability and scalability of the network. In such protocols, the network is organised into clusters in which one node will be selected as a cluster head for the cluster. Selecting cluster head and forming the clusters are the key issues in these protocols, as a result, many routing protocols-based clustering have been proposed. With the objective of solving of these issues, reducing the energy consumption and extending the lifetime of the network, in this paper, energy efficiency-based clustering and particle swarm optimisation (EECPSO) method is proposed. EECPSO performance is evaluated and justified through extensive analysis, comparison and implementation. The results show that the proposed method is highly efficient and effective in term of balancing the consumption of energy and prolonging network lifetime.

Springer, Singapore, 2018

Routing in wireless sensor networks (WSNs) has a primary task for data transfer from source to th... more Routing in wireless sensor networks (WSNs) has a primary task for data transfer from source to the sink. Due to restricted battery power of the sensor nodes, there is a necessity to take in consideration while designing a routing protocol in WSNs the power saving of sensor nodes. Several routing protocols employing hierarchical-based clustering technique have been proposed for WSNs, however most of them still have such challenges which can be represented in minimizing the energy consumption and maximizing the network lifetime, simultaneously. In this paper, an improved method EACCC is proposed by extending the centralized clustering technique in order to achieve higher efficiency for energy, longer lifespan of network and network scalability. The performance of EACCC is evaluated and justified through extensive analysis, analytical proof, comparison, and implementation. The results show that the proposed method is highly efficient and effective in term of balancing the consumption of energy and prolonging network lifetime.

Wireless sensor networks (WSNs) are consisted of low cost and power-constrained sensor nodes. The... more Wireless sensor networks (WSNs) are consisted of low cost and power-constrained sensor nodes. The limited battery power of sensor nodes is the important key challenge to achieving minimum energy consumption to maximize network lifetime. Hierarchical cluster-based routing protocols are one of the most efficient routing protocols in WSNs, because of its higher energy efficiency, lower data retransmission, and network scalability. Low Energy Adaptive Clustering Hierarchy (LEACH) is a clustering based protocol which improves the lifetime of WSNs.In order to meet the challenges, issues and the different methods which are proposed to solve them, in this paper, a brief introduction to routing challenges in WSNs, the basic classification of routing protocols are introduced, also a comparative analysis using a parameters such as a scheme using, hop count, advantages, and disadvantages of protocols has been presented.

EECCMC, 2018

The restricted power of the sensor nodes in wireless sensor networks (WSNs) delegates the design ... more The restricted power of the sensor nodes in wireless sensor networks (WSNs) delegates the design of energy-efficient communication protocol. As a result, many algorithms were proposed to balance the spent on energy in sensor nodes. In order to reduce the energy consumption, minimize the data transmission, and maximize the lifespan of the network, the clustering algorithm is the most efficient technique, the selecting of the cluster head and forming the clusters are the key issues in this technique. In this paper, a proposed scheme OCPSO is suggested by extending the centralized algorithm along with the particle swarm optimization (PSO) with the aim of selecting an optimal cluster head among the eligible cluster heads and forming the appropriate clusters. The performance of our proposed scheme is evaluated through analysis, comparison, and implementation. The results show that the proposed scheme is highly efficient, and it has a better performance in term of energy saving, increasing the number of alive sensor nodes, and prolonging the lifespan of the network.