Dynamic deployment of wireless sensor network with constraints by using artificial bee colony algorithm
Başlık çevirisi mevcut değil.
- Tez No: 469017
- Danışmanlar: PROF. DR. DERVİŞ KARABOĞA
- Tez Türü: Yüksek Lisans
- Konular: Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontrol, Computer Engineering and Computer Science and Control
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 2017
- Dil: İngilizce
- Üniversite: Erciyes Üniversitesi
- Enstitü: Fen Bilimleri Enstitüsü
- Ana Bilim Dalı: Bilgisayar Mühendisliği Ana Bilim Dalı
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: 92
Özet
Wireless Sensor Networks (WSNs) are generally used for many private and military applications therefore; they have drawn important attention in recent and current years, due to the tiny size and low fabrication cost of the sensor nodes, power, bandwidth, memory, and other limited resources. Many research fields exist in wireless sensor networks, such as sensor network security, coverage, communication, etc. This work examines the major problem of dynamic deployment of WSNs by using an Artificial Bee Colony algorithm to optimize the coverage rate of wireless network of mobile sensor nodes. The position of the sensors in the sensing area is the most important part that affects the network coverage. Therefore, the main challenge of wireless sensor network deployment is positioning the sensor nodes in the area of interest to get maximum coverage. Within the dynamic deployment problem, sensors are firstly placed inside the area with random positions. If the sensors are mobile, they can change their positions by the usage of their information on other node positions. By those movements, the coverage rate is increased. This thesis focuses on the area coverage problem of mobile sensor nodes in wireless sensor network. The artificial bee colony algorithm is used for dynamic deployment of the mobile sensors to increase the coverage of wireless sensor networks. The artificial bee colony algorithm is implemented firstly to deploy mobile sensors in an area without any constraint or obstacle to get maximum coverage area. Then, the algorithm is utilized for an area with constraint and deployed the wireless sensor nodes by using two different methods. The first method depends on sensor coordinates. If a sensor coordinate is in the forbidden area, this sensor is redeployed outside the forbidden area. The second method depends on the fitness value of the sensors. If a sensor inside the forbidden area, the fitness takes a low value that produced from dividing the coverage rate over the number of sensors in the forbidden area +1, that means it is not a good solution.
Özet (Çeviri)
Wireless Sensor Networks (WSNs) are generally used for many private and military applications therefore; they have drawn important attention in recent and current years, due to the tiny size and low fabrication cost of the sensor nodes, power, bandwidth, memory, and other limited resources. Many research fields exist in wireless sensor networks, such as sensor network security, coverage, communication, etc. This work examines the major problem of dynamic deployment of WSNs by using an Artificial Bee Colony algorithm to optimize the coverage rate of wireless network of mobile sensor nodes. The position of the sensors in the sensing area is the most important part that affects the network coverage. Therefore, the main challenge of wireless sensor network deployment is positioning the sensor nodes in the area of interest to get maximum coverage. Within the dynamic deployment problem, sensors are firstly placed inside the area with random positions. If the sensors are mobile, they can change their positions by the usage of their information on other node positions. By those movements, the coverage rate is increased. This thesis focuses on the area coverage problem of mobile sensor nodes in wireless sensor network. The artificial bee colony algorithm is used for dynamic deployment of the mobile sensors to increase the coverage of wireless sensor networks. The artificial bee colony algorithm is implemented firstly to deploy mobile sensors in an area without any constraint or obstacle to get maximum coverage area. Then, the algorithm is utilized for an area with constraint and deployed the wireless sensor nodes by using two different methods. The first method depends on sensor coordinates. If a sensor coordinate is in the forbidden area, this sensor is redeployed outside the forbidden area. The second method depends on the fitness value of the sensors. If a sensor inside the forbidden area, the fitness takes a low value that produced from dividing the coverage rate over the number of sensors in the forbidden area +1, that means it is not a good solution.
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