scholarly journals Travel Route Planning with Optimal Coverage in Difficult Wireless Sensor Network Environment

Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1838 ◽  
Author(s):  
Yu Gao ◽  
Jin Wang ◽  
Wenbing Wu ◽  
Arun Kumar Sangaiah ◽  
Se-Jung Lim
Keyword(s):  
Mobile Devices ◽  
Network Performance ◽  
Ad Hoc ◽  
Rapid Development ◽  
Data Gathering ◽  
Route Planning ◽  
Pso Algorithm ◽  
Coverage Rate ◽  
Intelligent Vehicles ◽  
Wireless Sensor

In recent years, wireless sensor networks (WSNs) have been widely applied to sense the physical environment, especially some difficult environment due to their ad-hoc nature with self-organization and local collaboration characteristics. Meanwhile, the rapid development of intelligent vehicles makes it possible to adopt mobile devices to collect information in WSNs. Although network performance can be greatly improved by those mobile devices, it is difficult to plan a reasonable travel route for efficient data gathering. In this paper, we present a travel route planning schema with a mobile collector (TRP-MC) to find a short route that covers as many sensors as possible. In order to conserve energy, sensors prefer to utilize single hop communication for data uploading within their communication range. Sojourn points (SPs) are firstly defined for a mobile collector to gather information, and then their number is determined according to the maximal coverage rate. Next, the particle swarm optimization (PSO) algorithm is used to search the optimal positions for those SPs with maximal coverage rate and minimal overlapped coverage rate. Finally, we schedule the shortest loop for those SPs by using ant colony optimization (ACO) algorithm. Plenty of simulations are performed and the results show that our presented schema owns a better performance compared to Low Energy Adaptive Clustering Hierarchy (LEACH), Multi-hop Weighted Revenue (MWR) algorithm and Single-hop Data-gathering Procedure (SHDGP).

scholarly journals Swarm-Intelligence-Centric Routing Algorithm for Wireless Sensor Networks

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5164
Author(s):  
Changsun Shin ◽  
Meonghun Lee
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Swarm Intelligence ◽  
Network Performance ◽  
Ad Hoc ◽  
Routing Algorithm ◽  
Optimal Solution ◽  
Link Quality ◽  
Wireless Sensor ◽  
Control Message

The swarm intelligence (SI)-based bio-inspired algorithm demonstrates features of heterogeneous individual agents, such as stability, scalability, and adaptability, in distributed and autonomous environments. The said algorithm will be applied to the communication network environment to overcome the limitations of wireless sensor networks (WSNs). Herein, the swarm-intelligence-centric routing algorithm (SICROA) is presented for use in WSNs that aim to leverage the advantages of the ant colony optimization (ACO) algorithm. The proposed routing protocol addresses the problems of the ad hoc on-demand distance vector (AODV) and improves routing performance via collision avoidance, link-quality prediction, and maintenance methods. The proposed method was found to improve network performance by replacing the periodic “Hello” message with an interrupt that facilitates the prediction and detection of link disconnections. Consequently, the overall network performance can be further improved by prescribing appropriate procedures for processing each control message. Therefore, it is inferred that the proposed SI-based approach provides an optimal solution to problems encountered in a complex environment, while operating in a distributed manner and adhering to simple rules of behavior.

Using PSO to Optimize the Performance of Timeslot Scheduling in Mesh Wireless Network

2010 ◽  
Vol 37-38 ◽  
pp. 1619-1624
Author(s):  
Jin Dong Zhao ◽  
Yao Lin ◽  
Jin Qin
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Network ◽  
Graph Coloring ◽  
Network Performance ◽  
Time Slot ◽  
Pso Algorithm ◽  
Wireless Sensor ◽  
Delay Model ◽  
Mesh Topology

In IEEE802.15.4 compatible network, TDMA mechanism was used to access the medium and all nodes communicate to each other within one superframe periodically. In order to use the time slot efficiently, graph coloring algorithms are used to schedule the time slots in wireless sensor network. In this paper, the impacts of different assignments on network performance were analyzed and the result was extended to mesh topology network. The proposed data delay model was used to design a PSO algorithm to optimize the assignment schema. Finally, simulation was carried out to verify the practicability of the algorithm and the optimization effect was shown.

scholarly journals Examination on Security Performance Analysis Model of Internet of Things Assigned Based on Composite Security Key

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Ying Sun ◽  
Lei Bai
Keyword(s):  
Internet Of Things ◽  
Ad Hoc ◽  
Rapid Development ◽  
Denial Of Service ◽  
Key Exchange ◽  
Wireless Sensor ◽  
Analysis Model ◽  
System Architectures ◽  
Memory Space ◽  
Internet Of Things Technology

Rapid development of Internet of Things technology makes the Internet interact and communicate with objects in the real world. The diversity of Internet of Things’ system architectures and the diversity of networks determine the complexity of their security issues. A key step in building an Internet of Things’ security system is to build a model and evaluate threats of security. First, this paper studies the distribution of key security about mobile ad hoc networks and analyzed the characteristics of the scene. To promote the certification of the key exchange strategy of both sides, it supports key exchange between the core node and multiple nodes for existing problems that management scheme of random key preallocation is limited by the storage space of the node through combination of key matrix elements which has less information to generate a large number of keys, and each sensor node only needs to store related parameters and key matrix. It saves the memory space of node greatly. The results of simulation show that the program has a strong security; it can fight against the common attacks of wireless sensor networks, such as node forgery attacks, message replay attacks, and denial of service attacks. At the same time, it is superior to traditional solutions in terms of network connectivity and nondestructibility, which can apply clustered wireless sensor network massively.

Sinkhole Attack Detection-Based SVM In Wireless Sensor Networks

2021 ◽  
Vol 10 (2) ◽  
pp. 16-31
Author(s):  
Sihem Aissaoui ◽  
Sofiane Boukli Hacene
Keyword(s):  
Network Performance ◽  
Ad Hoc ◽  
Detection System ◽  
Special Kind ◽  
Attack Detection ◽  
Wireless Sensor ◽  
Support Vector ◽  
Detection Accuracy ◽  
Sybil Attack ◽  
Wireless Medium

Wireless sensor network is a special kind of ad hoc network characterized by high density, low mobility, and the use of a shared wireless medium. This last feature makes the network deployment easy; however, it is prone to various types of attacks such as sinkhole attack, sybil attack. Many researchers studied the effect of such attacks on the network performance and their detection. Classification techniques are some of the most used end effective methods to detect attacks in WSN. In this paper, the authors focus on sinkhole attack, which is one of the most destructive attacks in WSNs. The authors propose an intrusion detection system for sinkhole attack using support vector machines (SVM) on AODV routing protocol. In the different experiments, a special sinkhole dataset is used, and a comparison with previous techniques is done on the basis of detection accuracy. The results show the efficiency of the proposed approach.

scholarly journals Coalition Formation Based Compressive Sensing in Wireless Sensor Networks

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2331 ◽  
Author(s):  
Alireza Masoum ◽  
Nirvana Meratnia ◽  
Paul Havinga
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Compressive Sensing ◽  
Energy Efficient ◽  
Network Performance ◽  
Data Gathering ◽  
Data Accuracy ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Efficient Data

Compressive sensing originates in the field of signal processing and has recently become a topic of energy-efficient data gathering in wireless sensor networks. In this paper, we propose an energy efficient distributed compressive sensing solution for sensor networks. The proposed solution utilizes sparsity distribution of signals to group sensor nodes into several coalitions and then implements localized compressive sensing inside coalitions. This solution improves data-gathering performance in terms of both data accuracy and energy consumption. The approach curbs both data-transmission costs and number of measurements. Coalition-based data gathering cuts transmission costs, and the number of measurements is reduced by scheduling sensor nodes and adjusting their sampling frequency. Our simulation showed that our approach enhances network performance by minimizing energy cost and improving data accuracy.

scholarly journals An intelligent data gathering schema with data fusion supported for mobile sink in wireless sensor networks

2019 ◽  
Vol 15 (3) ◽  
pp. 155014771983958 ◽  
Author(s):  
Jin Wang ◽  
Yu Gao ◽  
Wei Liu ◽  
Arun Kumar Sangaiah ◽  
Hye-Jin Kim
Keyword(s):  
Neural Network ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Fusion ◽  
Routing Protocol ◽  
Network Performance ◽  
Data Gathering ◽  
Mobile Sink ◽  
Wireless Sensor ◽  
Learning Technology

Numerous tiny sensors are restricted with energy for the wireless sensor networks since most of them are deployed in harsh environments, and thus it is impossible for battery re-change. Therefore, energy efficiency becomes a significant requirement for routing protocol design. Recent research introduces data fusion to conserve energy; however, many of them do not present a concrete scheme for the fusion process. Emerging machine learning technology provides a novel direction for data fusion and makes it more available and intelligent. In this article, we present an intelligent data gathering schema with data fusion called IDGS-DF. In IDGS-DF, we adopt a neural network to conduct data fusion to improve network performance. First, we partition the whole sensor fields into several subdomains by virtual grids. Then cluster heads are selected according to the score of nodes and data fusion is conducted in CHs using a pretrained neural network. Finally, a mobile agent is adopted to gather information along a predefined path. Plenty of experiments are conducted to demonstrate that our schema can efficiently conserve energy and enhance the lifetime of the network.

scholarly journals Coalition Formation Based Compressive Sensing in Wireless Sensor Networks

2018 ◽  
Author(s):  
Alireza Masoum ◽  
Nirvana Meratnia ◽  
Paul J.M. Havinga
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Compressive Sensing ◽  
Energy Efficient ◽  
Network Performance ◽  
Data Gathering ◽  
Data Accuracy ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Transmission Cost

Compressive sensing originates in the field of signal processing and has recently become a topic of energy-efficient data gathering in wireless sensor networks. In this paper, we propose an energy efficient distributed compressive sensing solution for sensor networks. Proposed solution utilizes sparsity distribution of signals to group sensor nodes into several coalitions and then implements localized compressive sensing inside coalitions. This solution improves data-gathering performance in terms of both data accuracy and energy consumption. The approach curbs both data-transmission costs and number of measurements. Coalition-based data gathering cuts transmission cost, and the number of measurements is reduced by scheduling sensor nodes and adjusting their sampling frequency. Our simulation showed that our approach enhances network performance by minimizing energy cost and improving data accuracy.

scholarly journals Hybrid MAC Protocol for UAV-Assisted Wireless Sensor Networks

2018 ◽  
Author(s):  
Muhammad Rusyadi Ramli ◽  
Dong-Seong Kim ◽  
Jae Min Lee
Keyword(s):  
Network Performance ◽  
Time Slot ◽  
Mac Protocol ◽  
Data Gathering ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Medium Access ◽  
Registration Process ◽  
Beacon Frame ◽  
Transmission Schedule

This paper proposes a hybrid medium access control (MAC) protocol for wireless sensor network (WSN) data gathering, employing unmanned aerial vehicles (UAV). The UAV sends a beacon frame periodically to inform sensor nodes regarding its presence. Afterward, each sensor node which receives beacon frame contends to send registration frame to the UAV. The UAV will transmit the second beacon frame to the registered nodes to notify their transmission schedule. The time-slot scheme is used for the transmission schedule. The transmission schedule of each sensor is determined based on their priority. Specifically, the priority of each sensor is determined during the registration process. Furthermore, the architecture of UAV-WSN data gathering system is introduced in this paper. Simulations are performed, showing that the proposed MAC protocol achieves fairness while enhancing network performance.

System Modeling for Opportunistic Network-Coded Cooperative Multicast Transmission in Clustered Wireless Sensor Networks

2013 ◽  
Vol 756-759 ◽  
pp. 1413-1417
Author(s):  
Yun Zhu ◽  
Jie Gao ◽  
Lin Zhang ◽  
Shao Lan Sun
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Performance ◽  
System Modeling ◽  
Cluster Head ◽  
Data Gathering ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Opportunistic Network ◽  
Cooperative Multicast

Wireless sensor networks are formed by connected sensors that each have the ability to collect, process, and store environmental information as well as communicate with others via inter-sensor wireless communication. The many-to-one communication pattern used by sensor nodes in most of the data gathering applications leads to such unbalanced energy consumption. Cluster-based protocols attempt to solve this problem by load balancing within the cluster and rotating the job of cluster head every few rounds. In this paper, in order to achieve efficient utilization of wireless resources, we propose an opportunistic network-coded cooperative multicast scheme, which can select appropriate relays by synthetically considering location and instantaneous channel state information to improve the network performance than direct multicast with non additional power consumption.

Enhanced Algorithm to Optimize QoS and Security Parameters in Ad hoc Networks

2021 ◽  
pp. 1-27
Author(s):  
Tripti Sharma ◽  
Mujahid Tabassum
Keyword(s):  
Ad Hoc Networks ◽  
Network Lifetime ◽  
Routing Protocol ◽  
Network Performance ◽  
Ad Hoc ◽  
Wireless Sensor ◽  
Improved Performance ◽  
Hoc Networks ◽  
Multiple Qos Constraints ◽  
Multiple Qos

In ad hoc networks, it is essential and desirable that running applications offer appropriate QoS. However, it becomes a challenge, especially in wireless sensor networks. This chapter concentrates on integrating the security aspect with those of disconnection because of the excessive utilization of a particular node. It is seen that in ad-hoc networks that it is possible to enhance the network lifetime significantly by incorporating the battery properties in the routing protocol. So that will increase the network performance while routing protocol integrates the security with battery to support the simulation results. These results show that adaptive DSR protocol maintains useful network lifetime in addition to improved performance. The chapter attempts to improve the overall QoS of the MANET. It is well known that QoS provisioning is an intricate and challenging issue in mobile ad hoc networks, especially when there are multiple QoS constraints.

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