CASMOC: a novel complex alliance strategy with multi-objective optimization of coverage in wireless sensor networks

2016

Int. J. Onl. Eng.

Abstract-In order to solve the problem of long delay time and low data precision, a remote system for oil spill detection based on ZigBee and GIS is designed in this paper. This paper analytically summarizes the results obtained from surveying spectral characteristics of spill oil film at sea. M along use of AVHRR and TM data, the image of oil spill in several marine accidents has been processed and identified, and the place and area of oil spill in obtaining images are the same as investigation in the scene of accidents. Simulation results show that the proposed system which bases on the ZigBee and GIS can thus improve overall system performance substantially.

Section: Overview IImentioning

confidence: 99%

Remote System for Oil Spill Detection Based on ZigBee and GIS

Hou

2016

Int. J. Onl. Eng.

“…An efficient event detection technique based on temporal-spatial correlation model is proposed in Sun's paper [8] to assure the precision of detection result. Meanwhile, the constraint of response time can be satisfied by changing the execution time dynamically.…”

Section: Overview IImentioning

confidence: 99%

Distributed Data Storage Strategy in Wireless Sensor Networks

Yang

2016

Int. J. Onl. Eng.

Abstract-In order to solve the problem of large scalability and low energy efficiency in distributed data storage in wireless sensor networks, the author proposed a temporalcentric storage approach method. By using this method the sensing data are stored in some storage node indexed by a hash function parameterized with detecting time. These nodes act as rendezvous among sink and source nodes. Simulation results show that the proposed approach mitigates the hot-spot problem and can thus improve overall system performance substantially.

“…However, the complexity of the algorithm has been greatly increased, and the efficiency of the algorithm is relatively low. In order to improve the efficiency of the three-dimensional Otsu method, scholars both at home and abroad have conducted extensive research [7,8]. A kind of fast recursive method for the three-dimensional Otsu method is put forward by establishing a look-up table, which, however, is implemented at the expense of the memory space.…”

Section: Introductionmentioning

confidence: 99%

Adaptive wireless network multi-objective optimization algorithm based on image synthesis

Xueya

2018

J Image Video Proc.

Multi-objective optimization problems can be divided into continuous multi-objective optimization problems and discrete multi-objective optimization problems, and discrete multi-objective optimization is not universal. In practical applications, there are many discrete multi-objective optimization problems. The solution of different problems needs to design different evolutionary multi-objective algorithms according to their specific conditions. The threshold in the traditional multi-objective optimization of wireless network is a preset constant. It has relatively poor performance in the synthesis of images with different noise levels. An adaptive wireless network multi-objective optimization algorithm based on image synthesis is proposed. Based on the maximum inter class variance and maximum peak signal to noise ratio (SNR), an adaptive wireless network multi-objective optimization algorithm is established. The accuracy and noise immunity of image synthesis are also considered. In order to avoid the effect of threshold increase on algorithm efficiency, multi-objective optimization algorithm is introduced into the algorithm. Experiments show that the method proposed in this paper is accurate and robust and has good universality for the synthesis of different noise images.