scholarly journals A Compact Bat Algorithm for Unequal Clustering in Wireless Sensor Networks

2019 ◽  
Vol 9 (10) ◽  
pp. 1973 ◽  
Author(s):  
Trong-The Nguyen ◽  
Jeng-Shyang Pan ◽  
Thi-Kien Dao
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Optimization Problems ◽  
Optimal Solution ◽  
Solution Space ◽  
Bat Algorithm ◽  
Wireless Sensor ◽  
Unequal Clustering ◽  
Large Solution ◽  
Limited Memory

Everyday, a large number of complex scientific and industrial problems involve finding an optimal solution in a large solution space. A challenging task for several optimizations is not only the combinatorial operation but also the constraints of available devices. This paper proposes a novel optimization algorithm, namely the compact bat algorithm (cBA), to use for the class of optimization problems involving devices which have limited hardware resources. A real-valued prototype vector is used for the probabilistic operations to generate each candidate for the solution of the optimization of the cBA. The proposed cBA is extensively evaluated on several continuous multimodal functions as well as the unequal clustering of wireless sensor network (uWSN) problems. Experimental results demonstrate that the proposed algorithm achieves an effective way to use limited memory devices and provides competitive results.

scholarly journals Wireless Sensor Network Optimization: Multi-Objective Paradigm

2021 ◽  
Author(s):  
Muhammad Iqbal ◽  
Muhammad Naeem ◽  
Alagan Anpalagan ◽  
Ashfaq Ahmed ◽  
Muhammad Azam
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Optimization Problem ◽  
Optimization Problems ◽  
Wireless Sensor ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Input Variables

Optimization problems relating to wireless sensor network planning, design, deployment and operation often give rise to multi-objective optimization formulations where multiple desirable objectives compete with each other and the decision maker has to select one of the tradeoff solutions. These multiple objectives may or may not conflict with each other. Keeping in view the nature of the application, the sensing scenario and input/output of the problem, the type of optimization problem changes. To address different nature of optimization problems relating to wireless sensor network design, deployment, operation, planning and placement, there exist a plethora of optimization solution types. We review and analyze different desirable objectives to show whether they conflict with each other, support each other or they are design dependent. We also present a generic multi-objective optimization problem relating to wireless sensor network which consists of input variables, required output, objectives and constraints. A list of constraints is also presented to give an overview of different constraints which are considered while formulating the optimization problems in wireless sensor networks. Keeping in view the multi facet coverage of this article relating to multi-objective optimization, this will open up new avenues of research in the area of multi-objective optimization relating to wireless sensor networks.

scholarly journals Analysis of Clone Detection Approaches in Static Wireless Sensor Networks

2017 ◽  
Vol 10 (3) ◽  
pp. 653-659
Author(s):  
Sacachin Lalar ◽  
Shashi Bhushan ◽  
Surender Surender
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Clone Detection ◽  
Limited Memory ◽  
Different Types ◽  
Static Wireless Sensor Networks

Wireless Sensor Networks (WSNs) are developing very fast in the wireless networks. The wireless sensor network has the characteristics of limited memory, small size and limited battery. WSNs are vulnerable to the different types of attacks due to its characteristics. One of the attacks is clone node attack in which attacker capture the nodes from the network and stoles the information from it and replicates it in the network. From the clone nodes, the attacker can easily launch the different type of attacks in the network. To detect the clone node, different methods has been implemented .Each method having advantages and limitations. In the this paper, we explain the different methods to detect the clone nodes in the static wireless sensor network and compare their performance based on the communication cost and memory.

scholarly journals Performance of BAT Algorithm on Localization of Wireless Sensor Network

2013 ◽  
Vol 6 (3) ◽  
pp. 351-358 ◽  
Author(s):  
Sonia Goyal ◽  
Manjeet Singh Patterh
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Sensor Node ◽  
Geographical Location ◽  
Bat Algorithm ◽  
Wireless Sensor ◽  
Localization Problem ◽  
Large Numbers

Many applications of wireless sensor networks (WSN) require information about the geographical location of each sensor node. Devices that form WSN are expected to be remotely deployed in large numbers in a sensing field, and to self -organize to perform sensing and acting task. The goal of localization is to assign geographical coordinates to each device with unknown position in the deployment area. Recently, the popular strategy is to apply optimization algorithms to solve the localization problem. In this paper, the bat algorithm is implemented to estimate the sensor‟s position.

Analysis of Coverage Hole Problem for Detection and Restoration in Wireless Sensor Networks

2020 ◽  
Vol 12 (3) ◽  
pp. 403-408 ◽  
Author(s):  
Rashmeet Kaur ◽  
Amit Gupta ◽  
Rakesh Goyal
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Unequal Clustering ◽  
Static Wireless Sensor Networks ◽  
Energy Efficient Clustering ◽  
Coverage Holes

Wireless Sensor Network is an evolving technology which has gained massive attention in the past few years. Researchers are focusing on designing the wireless sensors more and more intelligent and efficient to make our life extremely comfortable and luxurious. Wireless Sensor Networks are used in bridge monitoring, smart agriculture, health care monitoring, landslide detection, biodiversity mapping, etc. Coverage holes are one of the key problems which occur in the Wireless Sensor Network accidentally and they cannot be neglected. The coverage holes appear in the sensing field due to poor instalment, node failure, battery depletion, etc. In this paper, detection and restoration method based on Hybrid Wireless Sensor Networks and Static Wireless Sensor Networks are discussed. Further, we have analysed the performances of these networks using Unequal Clustering and Connected Graphand Novel Energy Efficient Clustering Protocol techniques. The simulation results revealed that for Hybrid Wireless Sensor Networks, Unequal Clustering and Connected Graph protocol is best suitable and for Static Wireless Sensor Networks, Novel Energy Efficient Clustering Protocoltechnique will be preferred.

scholarly journals A Novel Improved Bat Algorithm Based on Hybrid Parallel and Compact for Balancing an Energy Consumption Problem

Information ◽  
2019 ◽  
Vol 10 (6) ◽  
pp. 194 ◽  
Author(s):  
Trong-The Nguyen ◽  
Jeng-Shyang Pan ◽  
Thi-Kien Dao
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Energy Balance ◽  
Optimization Problems ◽  
Bat Algorithm ◽  
Practical Method ◽  
The Other ◽  
Wireless Sensor ◽  
Time Consumption ◽  
Computation Load

This paper proposes an improved Bat algorithm based on hybridizing a parallel and compact method (namely pcBA) for a class of saving variables in optimization problems. The parallel enhances diversity solutions for exploring in space search and sharing computation load. Nevertheless, the compact saves stored variables for computation in the optimization approaches. In the experimental section, the selected benchmark functions, and the energy balance problem in Wireless sensor networks (WSN) are used to evaluate the performance of the proposed method. Results compared with the other methods in the literature demonstrate that the proposed algorithm achieves a practical method of reducing the number of stored memory variables, and the running time consumption.

scholarly journals Wireless Sensor Network Optimization: Multi-Objective Paradigm

2021 ◽  
Author(s):  
Muhammad Iqbal ◽  
Muhammad Naeem ◽  
Alagan Anpalagan ◽  
Ashfaq Ahmed ◽  
Muhammad Azam
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Optimization Problem ◽  
Optimization Problems ◽  
Wireless Sensor ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Input Variables

Optimization problems relating to wireless sensor network planning, design, deployment and operation often give rise to multi-objective optimization formulations where multiple desirable objectives compete with each other and the decision maker has to select one of the tradeoff solutions. These multiple objectives may or may not conflict with each other. Keeping in view the nature of the application, the sensing scenario and input/output of the problem, the type of optimization problem changes. To address different nature of optimization problems relating to wireless sensor network design, deployment, operation, planning and placement, there exist a plethora of optimization solution types. We review and analyze different desirable objectives to show whether they conflict with each other, support each other or they are design dependent. We also present a generic multi-objective optimization problem relating to wireless sensor network which consists of input variables, required output, objectives and constraints. A list of constraints is also presented to give an overview of different constraints which are considered while formulating the optimization problems in wireless sensor networks. Keeping in view the multi facet coverage of this article relating to multi-objective optimization, this will open up new avenues of research in the area of multi-objective optimization relating to wireless sensor networks.

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