Localization in WSN Using Modified Trilateration Based on Fuzzy Optimization
نویسندگان
چکیده
Localization is a fundamental problem in Wireless Sensor Networks (WSNs) and is more challenging in the mobile sensor network than in the static sensor network. In a system formed by hundreds of sensors deployed in a large area, it is important to know the position of each sensor. This information can be calculated using either of the several localization algorithms. This paper proposed a novel fuzzy based algorithm to solve the trilateration problem( i.e. when the node is in the overlapping region of circles) in WSNs, with the objective of estimating the location of sensors according to the knowledge of the position of some reference nodes. This algorithm, called modified trilateration (Using fuzzy optimization and centroid technique) is executed along a wireless sensor network formed by hundreds of nodes. The evaluation of Modified Trilateration is led by simulation tests. The result obtained shows that proposed algorithm is a promising method that can easily solve the problem of knowing where the sensors are located with less error as compared to simple weighted centroid technique. Key WordsGPS, localisation, Wireless sensor network (WSN), centroid, fuzzy logic, received signal strength indicator (RSSI).
منابع مشابه
Enhanced Trilateration Localization Using Fuzzy Logic for WSN
One of the most widely used techniques for solving the famous localization problem in wireless sensor networks (WSNs) is the Trilateration. This paper introduces an enhanced version of the Trilateration algorithm entitled Fuzzy Based Trilateration (FBT). The main objective is to estimate the position of sensor nodes in WSNs accurately with a cheap, low power and simple technique. FBT achieves i...
متن کاملMDS and Trilateration Based Localization in Wireless Sensor Network
Localization of sensor nodes is crucial in Wireless Sensor Network because of applications like surveillance, tracking, navigation etc. Various optimization techniques for localization have been proposed in literature by different researchers. In this paper, we propose a two phase hybrid approach for localization using Multidimensional Scaling and trilateration, namely, MDS with refinement usin...
متن کاملOn improving APIT algorithm for better localization in WSN
In Wireless Sensor Networks (WSNs), localization algorithms could be range-based or range-free. The Approximate Point in Triangle (APIT) is a range-free approach. We propose modification of the APIT algorithm and refer as modified-APIT. We select suitable triangles with appropriate distance between anchors to reduce PIT test errors (edge effect and non-uniform placement of neighbours) in APIT a...
متن کاملLocalization in Wireless Sensor Networks Using Heuristic Optimization Techniques
Many applications of wireless sensor networks (WSN) require information about the geographic location of each sensor node. Devices that form WSN are expected to be remotely deployed in large numbers in a sensing field, and to self-organize to perform sensing and acting task. The goal of localization is to assign geographic coordinates to each device with unknown position in the deployment area....
متن کاملRSSI based Node Localization using Trilateration in Wireless Sensor Network
Wireless Sensor Network (WSN) is an ad-hoc network generally used to perform various monitoring tasks deployed randomly in different environments. There are various applications of WSN which require the knowledge of the location of sensor node makes the sensing data more significant. This aspect of information increases the diversity of applications. In most of the Wireless Sensor Networks wher...
متن کامل