scholarly journals New Topology Control base on Ant Colony Algorithm in Optimization of Wireless Sensor Network

2021 ◽  
Vol 3 (2) ◽  
pp. 1-7
Author(s):  
Zana Azeez Kakarash ◽  
Sarkhel H.Taher Karim ◽  
Nawroz Fadhel Ahmed ◽  
Govar Abubakr Omar

Wireless sensor networks (WSNs) have found great appeal and popularity among researchers, especially in the field of monitoring and surveillance tasks. However, it has become a challenging issue due to the need to balance different optimization criteria such as power consumption, packet loss rate, and network lifetime, and coverage. The novelty of this research discusses the applications, structures, challenges, and issues we face in designing WSNs. And proposed new Topology control mechanisms it will focus more on building a reliable and energy efficient network topology step by step through defining available amount of energy for each node within its cluster, sorting all within header, and selecting an active one (more power header) for signal routing. While sensor cover topology demonstrates network monitoring capability, connection topology should remain as a requirement for the successful delivery of information including queries, data collected, and control messages. How to build an optimized coating topology while remaining efficient and low-cost connection is not well understood and needs further research. Power control and power management are two different types of topology controllers. Also in our study, we examine network lifetime, compared to other schemas time of death of the first node and the last node, and found that network lifetime was increased. Finally, a topology control method for extending network lifetime is presented.

Author(s):  
Ali Qolami ◽  
Mohammad Nassiri ◽  
Hatam Abdoli

Background and Objective: Wireless Sensor Networks (WSNs) are typically formed by one or more sink nodes and a large number of sensor nodes that are able to sense, process and transmit data. Topology control mechanisms can be utilized to guarantee requirements such as connectivity, coverage, delay and network lifetime in WSNs. One effective way to control the topology is adjusting transmission power level in each node according to the link quality conditions. The goal of Transmission Power Control (TPC) is to set the transmission range of each node by adjusting its transmission power level. Methods: In this paper, we investigate TPC in 802.15.4+RPL WSNs. In our proposed mechanism, each node dynamically adjusts its transmission power based on channel conditions before sending every data and ACK packet. Result and Conclusion: The results of extensive simulations confirm that our power control method improves network performance, especially in terms of network lifetime, which is an essential issue in WSNs.


2016 ◽  
Vol 12 (10) ◽  
pp. 86 ◽  
Author(s):  
Jingyi Bo ◽  
Yubin Wang ◽  
Na Xu

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; -ms-layout-grid-mode: line; mso-fareast-font-family: SimSun; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">Combining the characteristics of wireless sensor network, the ant colony algorithm is applied to a wireless sensor network, and a wireless sensor network route algorithm based on energy equilibrium is proposed in this paper. This algorithm takes the energy factor into the consideration of selection of route based on probability and enhanced calculation of information so as to find out the optimal route from the source node to the target node with low cost and balanced energy, and it prolongs the life cycle of the whole network</span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: SimSun; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">.</span>


Author(s):  
Ren Song

To avoid premature failure due to excessive energy consumption of some nodes in the network, the node energy consumption problem was considered. Network life was maximized. For the problem of node energy consumption, multiple methods such as the shortest path method, optimization method, and power control method were used to solve the problem of optimization of the survival time of the wireless sensor network in different scenarios and improve the network lifetime. The results showed that the sub-gradient algorithm could balance the node energy consumption and the number of neighbor nodes and extend the maximum network lifetime. Therefore, under certain conditions, the algorithm is better than the algorithm using fixed transmission power.


Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 634 ◽  
Author(s):  
Yang Li ◽  
Zongxia Jiao ◽  
Zimeng Wang

In order to provide a simplified and low-cost solution of the terminal for a distributed actuation system, this paper proposes an electro-hydrostatic actuator (EHA) based on the linear drive principle. The proposed actuator is directly driven by a linear pump with a collaborative rectification mechanism, whose performance relies on the collaboration of the internal two units. A pair of linear oscillating motors are employed to drive the two pump units respectively. The control of the actuator is based on the modulation of the oscillating amplitude, frequency, and phase difference of the two motors. The advantage of this actuator is that no more valve control is needed to rectify the linear pump besides the high efficiency of the direct pump drive. In this paper, both schematic and detailed structure of the actuator is presented. The kinematic and dynamic characteristics are analyzed and modeled, based on which the control method is proposed. The experiments verify the validity of the actuator structure and control.


2013 ◽  
Vol 433-435 ◽  
pp. 599-602
Author(s):  
Rui Ma ◽  
Yan Cheng Liu ◽  
Chuan Wang

One approach to extend the network lifetime is to divide the deployed sensors into disjoint subsets of sensors, or sensor covers, such that each sensor cover can cover all targets and work by turns. The more sensor covers can be found, the longer sensor network lifetime can be prolonged.This study propose a novel hybrid genetic algorithm (NHGA) comprising both basic generic operations with a fitness-improving local-search strategy to divide all wireless sensor nodes into a maximum number of disjoint set covers (DSCs). The simulation results show that NHGA outperforms the existing methods by generating more disjoint set covers and prolongs network lifetime.


2019 ◽  
Vol 4 (5) ◽  
pp. 102-108
Author(s):  
Moses Odiagbe ◽  
Emmanuel Majeyibo Eronu ◽  
Farouq E. Shaibu

The low cost effective wireless sensor network that The low cost effective wireless sensor network that allows for embedded system to monitor and control virtually any space and environment and to form the so called Internet of Things or Internet of Everything. The research work is intended to address a general problem associated with effective water utilization management, among others is the issue of water leakages, there is the need to effectively detect cases of leakages and address them appropriately. However, the sensitivity of the flow rate sensors used poses a number of challenges, hence the need to setup an appropriate calibration scheme that will allows for the flow rate sensor, effective adoption and usage ,isolating false alarm due to deficiencies associated with operation of the flow rate sensor as well as detecting leakages  . A frame work build around a flow rate sensor, solenoid valve, a microcontroller equipped with internet connectivity and a log in service monitoring and control platform on the cloud is used. Several simulated tests were carried out to explore a number of leakage scenarios. Based on the analysed data obtained overtime, appropriate algorithms were developed to allow for quick detection, remote monitoring and control of deduced cases of leakages. The work has significantly addressed the challenges poses to the effect leakages with the adopted framework.


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