Energy-efficient border intrusion detection using wireless sensors network

Yang, Tao; Mu, Dejun; Hu, Wei; Zhang, HuiXiang

doi:10.1186/1687-1499-2014-46

Cited by 30 publications

(14 citation statements)

References 29 publications

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“…A distributed barrier algorithm has been proposed as in Yang et al 30 They proposed a strategy of movement to build a strong coverage in order to monitor a border by detecting intrusions. Keung et al 29 focused on providing a k-barrier coverage against moving intruders.…”

Section: Related Workmentioning

confidence: 99%

“…Keung et al 29 focused on providing a k-barrier coverage against moving intruders. A distributed barrier algorithm has been proposed as in Yang et al 30 They proposed a strategy of movement to build a strong coverage in order to monitor a border by detecting intrusions. Ban et al 31 introduced a distributed algorithm to ensure the coverage for k-barrier, this algorithm locally calculating an optimal movement strategy.…”

Section: Related Workmentioning

confidence: 99%

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Optimal barrier coverage for critical area surveillance using wireless sensor networks

Benahmed

2019

Int J Communication

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Intrusion detection using barrier coverage is one of many applications existed in wireless sensor networks. The main purpose of using barrier coverage is to monitor the borders of a specific area against the intruders that are trying to penetrate this critical area by ensuring the total coverage with a low cost and extending the lifetime of the network, many solutions have been proposed in the literature in order to solve the coverage problem in wireless sensor networks, which became a vital field of research. In this paper, we present a new technique based on geometric mathematical models, in order to guarantee the total coverage of our deployed barriers with a minimum possible number of sensors. The idea is to calculate the number of sensors adequate to cover a barrier before deployment. We then formulate the problem to minimize the number of sensors to be deployed to properly cover a barrier; the calculation makes it possible to solve this problem in polynomial using our own heuristic.Additionally, we propose a new mechanism for ensuring a fault-tolerant network by detecting the faulty sensors and select other suited sensors to close the existing gaps inside the barriers and detecting the sensors whose energy is low before the failure. The obtained simulation results prove the effectiveness of the proposed algorithms. /journal/dac 1 of 21 which allows recognizing the monitoring level of the critical area. The coverage is the concept that was introduced because of several viewpoints, among them is the diversity of sensors and their different applications. By taking in consideration several constraints and topics such as the kinds of interest areas( borders, forests, etc) and the types of targets (vehicle, human, etc) and the WSNs constraints( resources limited) and trying to achieve the objectives (maximize the network lifetime, ensure the coverage). In this context, there are several topics and fields of research proposed and presented in the literature, among the most discussed are 5 : area coverage, barrier coverage, and point coverage. In area coverage problem, a group of sensors is distributed on a geographical region to monitor a specific area.In point coverage problem, a group of sensors is distributed to monitor a specific set of points (or objects). The barrier coverage refers to the detection of movement across the barriers of sensors. The goal is to maximize the ability for detecting any intruder who tries to infiltrate using a set of barriers of sensors. In order to solve this problem, several algorithms have been developed by researchers. In this paper, we extend our previous work by significantly proposing a mechanism of sensor deployment and calculation of barrier coverage based on a purely geometric model. By this mechanism, we obtain a more robust system for the calculation of the coverage, which allows a detection of intruders in a very efficient and effective way. Our proposed technique is capable of providing full coverage throughout a barrier, with a minimization of the number of deployed s...

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Optimal barrier coverage for critical area surveillance using wireless sensor networks

Benahmed

2019

Int J Communication

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“…For example, significant research has been conducted using passive infrared (PIR) sensors for outdoor localization [20], [21] where the sensors detect thermal radiation from a person. These studies have investigated not only the localization algorithms [20], but also their energy efficiency [21]. A major disadvantage of PIR sensors is that they lose the ability to track moving objects in forested or vegetated landscapes where obstructions occlude the sensors' field of view.…”

Section: Related Researchmentioning

confidence: 99%

Highly Reliable Signal Strength-Based Boundary Crossing Localization in Outdoor Time-Varying Environments

Hillyard¹,

Luong²,

Patwari³

2016

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)

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Detecting and locating outdoor boundary crossing events is valuable information in curbing drug trafficking, reducing poaching, and protecting high-asset equipment and goods. However, boundary sensing is notoriously challenging, prone to false alarms and missed detections, with serious consequences. Weather events, like rain and wind, make it even more challenging to maintain a low level of missed detections and false alarms. In this paper, we propose and test an automated system of wireless sensors which uses received signal strength (RSS) measurements to localize where a boundary crossing occurs. In addition, we develop new RSS-based statistical models and methods that can quickly be initialized and updated on-line by using link RSS statistics to adapt to time-varying RSS changes due to weather events. These models are implemented in two new classifiers that localize boundary crossings with few missed detections and false alarms. We validate our proposed methods by implementing one of the classifiers in a three month long deployment of a solar-powered, real-time system that captures images of the boundary for ground truth validation. Furthermore, over 75 hours of RSS measurements are collected with an emphasis on collection during weather events, like rain and wind, during which we expect our classifiers to perform the worst. We demonstrate that the proposed classifiers outperform four other baseline classifiers in terms of false alarm probability by 1 to 4 orders of magnitude, and in terms of the misclassification probability by 1 to 2 orders of magnitude.

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“…Wireless Sensor Network (WSN) is a multi-hop selforganizing network system formed by wireless communication. The sensor node cooperatively senses, collects, and processes information of the perceived object in the network coverage area and sends it to the observer [1,2].Wireless sensor networks are widely used in many important fields such as forest fire detection, animal tracking, military area monitoring, early earthquake detection, and border monitoring due to their low cost, low power consumption and multi-function [3,4,5,6,7].But as the size of the network increases, it becomes increasingly difficult and unrealistic to periodically replace batteries for all nodes, and limited battery energy will eventually lead to limited network life. In order to solve the problem of limited life in wireless sensor networks, many scholars at home and abroad have conducted a lot of research, and the solutions can be divided into three categories: node energy saving, natural energy collection and wireless charging.…”

Section: Introductionmentioning

confidence: 99%

Optimization Strategy of Wireless Charger Node Deployment Based on Improved Cuckoo Search Algorithm

Wang

wang

Zhu

et al. 2020

Preprint

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In wireless rechargeable sensor network, the deployment of charger node directly affects the overall charging utility of sensor network. Aiming at this problem, this paper abstracts the charger deployment problem as a multi-objective optimization problem that maximizes the received power of sensor nodes and minimizes the number of charger nodes. First, a network model that maximizes the sensor node received power and minimizes the number of charger nodes is constructed. Second, an Improved Cuckoo Search (ICS) algorithm is proposed. This algorithm is based on the traditional Cuckoo Search algorithm (CS) to redefine its step factor, and then use the mutation factor to change the nesting position of the host bird to update the bird ’s nest position, and then use ICS to find the ones that maximize the received power of the sensor node and minimize the number of charger nodes optimal solution. Compared with the traditional cuckoo search algorithm and multi-objective particle swarm optimization algorithm, the simulation results show that the algorithm can effectively increase the receiving power of sensor nodes, reduce the number of charger nodes and find the optimal solution to meet the conditions, so as to maximize the network charging utility.

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Energy-efficient border intrusion detection using wireless sensors network

Cited by 30 publications

References 29 publications

Optimal barrier coverage for critical area surveillance using wireless sensor networks

Optimal barrier coverage for critical area surveillance using wireless sensor networks

Highly Reliable Signal Strength-Based Boundary Crossing Localization in Outdoor Time-Varying Environments

Optimization Strategy of Wireless Charger Node Deployment Based on Improved Cuckoo Search Algorithm

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