Highly Reliable Multi-Service Provisioning using Sequential Prediction of Zone and PL&T of Nodes in Mobile Networks

Abstract

In this paper, a dynamic Position Location and Tracking (PL&T) method is proposed which uses an integrated "zone finding by predictive algorithm" and "Triangulation with dynamic reference positioning" for target nodes. The nodes can be used as references or targets at different instances of time to maintain accurate PL&T of each node in a wireless mobile network. Each node is equipped with an omnidirectional antenna. It is shown that while "zone prediction" is fairly accurate for finding the PL&T of a target node based on previous good location data when the target is moving linearly in one direction, it is not adequate when the nodes change directions. However, once the zone is predicted, the triangulation will provide accurate position of the target node by placing the reference nodes to form a reasonably perfect geometry. The results show that triangulation alone does not provide accurate prediction of the target location without finding the zone of the target and zone finding alone does not support accuracy of PL&T when the target node is changing directions. Another aspect that should be of concern is the repeated PL&T operation on the same target node at different instance of time becomes erroneous and therefore, they need to be reinitialized to get accurate locations with known wait points. Also, the references need to be reinitialized to maintain the accuracy. This requires the nodes to be dynamically used as target nodes and with good PL&T, they are used as references at different time instances. There is an upper layer dynamic reference management is required for this technology. The proposed integrated predictive zone finding and triangulation is particularly suitable for clustered Mobile Ad hoc Networks (MANET). Finally, this paper shows the performance analysis of this system for a reasonable number of nodes within the cluster that demonstrates high accuracy of PL&T location data of the nodes. Of course the overhead in managing the dynamic references is increased. However, the frequency of changing the references is minimized in each cluster as it contains few nodes (40 or less).

A Novel Resource Efficient Dmms Approach for Network Monitoring and Controlling Functions

“…In cluster based MANET, cluster head (CH) have many responsibilities such as to manage the resources of the cluster, to maintain the communication between two clusters, and etc. By applying DMMS on one of the graph theoretical routing protocols [12], we have discussed how DMMS can be used in controlling purpose to manage message overhead, to offer flexibility, and to provide resource efficiency. In graph theoretical routing [12], PL&T data is required to develop a snap shot for the cluster.…”

“…By applying DMMS on one of the graph theoretical routing protocols [12], we have discussed how DMMS can be used in controlling purpose to manage message overhead, to offer flexibility, and to provide resource efficiency. In graph theoretical routing [12], PL&T data is required to develop a snap shot for the cluster. By using user application of PL&T [11], reference nodes periodically find the PL&T data in terms of X-Y coordinates of all the nodes and sends those X_Y strings to the CH for developing a snap shot of the cluster.…”

“…In this paper, we are going to demonstrate the cost effective computation of the management entities at each user for monitoring the overall network such as user data throughput and delay, and real time network control functions where we have shown different management aspects for different multi-service applications such as Position, Location and Tracking (PL&T) system [11] and Graph Theoretical Routing application [12] with minimal use of bandwidth in the network for management functions. The remaining sections are organized as follows:…”

Analyzing The Performance of the Dynamic Position Location and Tracking (D-Pl&T) of Mobile Nodes Using Omni Directional Antenna in Manet

“…Since repeated triangulation of the same target would be susceptible to errors as the limits of errors can increase the tracking inaccuracy, it is critical that both the reference nodes and the target nodes to be reinitialized with a known location data over time for continuous tracking. In this paper, the performance of integrated zone prediction and 2D triangulation is derived through real time simulation in a MANET cluster, where the wireless AWGN channels and AWGN plus Fading channels have been used [3]. The results are summarized.…”

“…By considering the major limitations of all the above methods, the integrated PL&T method [3] is developed that uses IP based triangulation based on zone prediction method where accuracies of less than a meter are required. In this method, nodes require re-initializing after repeated tracking at different instances of time to maintain the tracking error within the specified target.…”