A Hybrid Cluster-Based Target Tracking Protocol for Wireless Sensor Networks

Abstract

Target tracking is a typical and important application of wireless sensor networks (WSNs). In consideration of the network scalability and energy efficiency for target tracking in large-scale WSNs, it has been employed as an effective solution by organizing the WSNs into clusters. However, tracking a moving target in cluster-based WSNs suffers a boundary problem when the target moves across or along the boundaries of clusters, as the static cluster membership prevents sensors in different clusters from sharing information. In this paper, we propose a novel mobility management protocol, called hybrid cluster-based target tracking (HCTT), which integrates on-demand dynamic clustering into a cluster-based WSN for target tracking. By constructing on-demand dynamic clusters at boundary regions, nodes from different static clusters that detect the target can temporarily share information, and the tracking task can be handed over smoothly from one static cluster to another. As the target moves, static clusters and on-demand dynamic clusters alternately manage the target tracking task. Simulation results show that the proposed protocol performs better in tracking the moving target when compared with other typical target tracking protocols.

Clustering in Wireless Sensor Networks- A Survey

“…Other protocols belonging to this category are "Hybrid Clustering Technique using Quantitative and Qualitative data for Wireless Sensor Networks" [24], "A Hybrid Cluster based target tracking protocol for Wireless Sensor Networks(HCTT)" [25], "HCMTT: Hybrid Clustering for Multi-Target Tracking in Wireless Sensor Networks" [42].…”

A low-latency communication protocol for target tracking in wireless sensor networks

“…Other solutions of routing protocol for target tracking are described in [9,10,[19][20][21], called MRP-NEP: Non-Equal-Probability Multicast Routing. Protocol, HCTT: Hybrid Cluster-Based Target Tracking Protocol, OCO: Optimized Communication and Organization, PES: Prediction-based Energy Saving Scheme, and CTT&MAV: Mobile Target Tracking Scheme.…”

“…There is some previous work in this area [1,[3][4][5][6][7][8][9][10]. However, this previous work for target tracking application almost exclusively focuses on separate components, and the issue of low latency is not fully solved nor is the trade-off between latency and energy efficiency sufficiently and explicitly addressed.…”

Object Tracking in Wireless Sensor Networks: Challenges and Solutions

“…In Wang et al (2013), a hybrid cluster-based object tracking approach was proposed that integrate static with on-demand dynamic clustering to manage the tracking task. While static clusters are confined to share information within cluster vicinity, on-demand dynamic clustering, on the other hand, is used when the object enters and exits the boundary region so sensors from different static clusters that intercept the object can temporarily share information.…”