Regarding the node localization problems for wireless sensor network, a hybrid optimization method was proposed accordingly on differential evolution(DE) algorithm and particle swarm optimization(PSO) algorithm. Firstly, the position and velocity of the initial population were randomly generated by PSO, and the fitness function was constructed according to the mean square error of estimated and...

DV-Hop algorithm is one of the important range-free localization algorithms. It performs better in isotropic density senor networks, however, it brings larger location errors in random distributed networks. According to the localization principle of the DV-Hop algorithm, this paper improves the estimation of average single hop distance by using the Least Equal Square Error, and revises the esti...

Firefighters’ safety is a critical problem and a major issue is the lack of reliable indoor firefighter localization. State of the art approaches have failed to provide an automatic, accurate and reliable solution to localize firefighters in harsh environments. This paper presents a novel system to achieve this goal, by combining pedestrian dead reckoning with a recently emerging breadcrumb sys...

The centroid localization scheme is a very efficient and resource aware algorithm to estimate a position. On a sensor node, the precision of the position depends on the number of different beacons positions the node receives. In networks with a small transmission range, the localization error behaves very balanced over the whole network. But in very large sensor networks with high transmission ...

Wireless sensor network (WSN) is a key enabling technology for ambient intelligence, where localization of sensor nodes is a fundamental and essential issue. Aiming at localization deficiency of DV-Based algorithm which are caused by the shortest path distance substituting for Euclidean distance, combing the advantages of error inhibition of MSO (mass-spring model), in this paper we propose a D...

To improve the localization precision of nodes in Wireless sensor network (WSN), this paper analyses the source of the localization error in the least square localization algorithm (LSL), and it can be concluded that the minimum cumulative relative distance error of the benchmark anchor node directly influence the localization precision. Based on the analyses, this paper proposes an improved le...

Abstract Defect detection and localization are key to preventing environmentally damaging wellbore leakages in both geothermal oil/gas applications. In this study, a multistep, machine learning approach is used localize two types of thermal defects within model. This includes comsol heat transfer simulation generate base data, neural network classify defect orientations, algorithm synthesize se...

Robot soccer game is one of the significant and interesting areas among most of the autonomous robotic researches. Following the humanoid soccer robot basic movement and strategy actions, the robot is operated in a dynamic and unpredictable contest environment and must recognize the position of itself in the field all the time. Therefore, the localization system of the soccer robot becomes the ...

Received Signal Strength (RSS) is considered as a promising measurement for indoor positioning. Lots of RSS-based localization methods have been proposed by its convenience and low cost. This paper focuses on two challenging issues in RSS-based localization schemes: finding optimal localization algorithms and knowing what affects the accuracy of these algorithms. Through theoretical and experim...

All mobile bases suffer from localization errors. Previous approaches to accommodate for localization errors either use external sensors such as lasers or sonars, or use internal sensors like encoders. An encoder’s information is integrated to derive the robot’s position; this is called odometry. A combination of external and internal sensors will ultimately solve the localization error problem...