Spatial information is crucial for sensor data to be interpreted meaningfully in many domains such as environmental monitoring, smart building failure detection, and military target tracking.
In addition to the inputs in terms of security, the proposed protocol is useful in many applications that necessitates a secure communication among all the nodes such as military target tracking or firefighting collaborating team.
Target tracking research addresses on how to track the whole trajectories of targets.
How many targets can be tracked with this approach is also an interesting future research issue.
However, many measurement models in real-life target tracking scenarios do not satisfy these prerequisite of assumption, which are treated as nonstandard measurement model.
Multi agent systems are employed to attain inherently robust solutions to many robotic applications like exploration, surveillance, patrolling, target tracking, and intelligent transportation.
In wireless sensor networks (WSNs), location information plays an important role in many fundamental services which includes geographic routing, target tracking, location-based coverage, topology control, and others.
It has applications in many fields, including visual surveillance, human behavior analysis, maneuvering target tracking, and traffic monitoring.
In the recent years, PFs played an important role in many research areas such as signal detection and demodulation, target tracking, positioning, Bayesian inference, audio processing, financial modeling, computer vision, robotics, control, or biology [18 24].
Hence, many filters with good performances in accuracy are limited in target tracking area due to their big computation.
