Controlled Mobility Sensor Networks for Target Tracking Using Ant Colony Optimization

Abstract

Abstract-In mobile sensor networks, it is important to manage the mobility of the nodes in order to improve the performances of the network. This paper addresses the problem of single target tracking in controlled mobility sensor networks. The proposed method consists of estimating the current position of a single target. Estimated positions are then used to predict the following location of the target. Once an area of interest is defined, the proposed approach consists of moving the mobile nodes in order to cover it in an optimal way. It thus defines a strategy for choosing the set of new sensors locations. Each node is then assigned one position within the set in the way to minimize the total traveled distance by the nodes. While the estimation and the prediction phases are performed using the interval theory, relocating nodes employs the ant colony optimization algorithm. Simulations results corroborate the efficiency of the proposed method compared to the target tracking methods considered for networks with static nodes.

Energy-Efficient Target Tracking by Mobile Sensors With Limited Sensing Range

“…Considering the problem of single target tracking in controlled mobility sensor networks, [18] proposes a novel strategy for sensor mobility management to improve the estimation of the position of the target. The movement decision is made upon whether the new position will improve the estimation while minimizing the energy consumption or not.…”

Target tracking in noisy wireless sensor network using artificial neural network

“…In recent years, to achieve more efficiency, the traditional methods have been combined with intelligent methods. In [16] an approach was presented for target tracking in WSN by combining maximum likelihood estimation and Kalman filtering using the distance measurement. The maximum likelihood estimator is used for prelocalization of the target and measurement conversion.…”

Target Tracking with Limited Sensing Range in Autonomous Mobile Sensor Networks

“…Considering the problem of single target tracking in controlled mobility sensor networks, researchers in [6] have proposed a novel strategy which is based on the intervalbased estimation for managing sensors mobility to improve the estimation of the position of the target. Mobile sensors are able to move to a new position at each step, which is chosen within the computed set using ant colony optimization algorithm.…”

“…The major contributions of this paper can be summarized as follows: 1) Different from previous work [6], [12], we take sensing quality, the number of moving sensors and the total traveled distance at each time step into consideration. We formulate the problem into one which aims to ensure the target will not be lost while minimizing the amount of sensors to move and then the total traveling distance of all moving sensors each step.…”