This paper addresses Internet of Things (IoT) with state-of-art approach. The purpose is to give insight into concept of “smart living”, a concept that meets requirements of today’s modern society. Implementation of this new technology requires new hardware and software installed and run on devices (“things”) connected to the Internet anytime and anywhere. In order to make possible this new technology for wide use, few technological, standards and legal issues need to be solved. In a view of this a new low power wireless sensor network protocol is proposed in the IoT spirit.

Ground Moving Target Indicator (GMTI) and High Resolution Radar (HRR) can track position and velocity of ground moving target. Pose, angle between position and velocity, can be derived from kinematics estimates of position and velocity and it is often used to reduce the search space of a target identification (ID) and Automatic Target Recognition (ATR)  algorithms. Due to low resolution in some radar systems, the GMTI estimated pose may exhibit large errors contributing to a faulty identification of potential targets. Our goal is to define new methodology to improve pose estimate. Besides applications in target tracking, there are numerous commercial applications in machine learning, augmented reality and body tracking.

This paper is a review of Internet of Things (IoT) with standards and industrial state-of-art approach. The purpose is to give insight into concept of “smart living”, a concept that meets requirements of today’s modern individuals and the society. Implementation of this new technology requires new hardware and software installed and run on devices (“things”) connected to the Internet anytime and anywhere. In order to make possible this new technology for wide use, few technological, standards and legal issues need to be solved. Several key companies (such as Intel, Cisco, IBM, etc.) are proposing their own standards both in HW and SW solutions and the time will tell which standard will emerge as a dominant one. Standards are the key for world wide acceptance of this new technology, as well as underlying wireless data technologies such as WiFi, ZigBe, and new emerging 4G and 5G mobile technologies.

In this paper we present some specific cases of the classic Nonlinear Lotka-Volterra (NLV) approach to modeling predator-prey dynamic systems [1,5], and propose to implement them using "mathematical" (Matlab) approach as well as "ad-hoc" approach using Agent Based Modeling (implemented using NetLogo modeling environment), [6].   Examples of various scenarios are introduced in a gradual way, from simpler to more complex ones. The emphasis is given to gaining insight into predator-prey relationship, as well as some structural results [2,3] as applied to classic complex systems modeling and control, as well as understanding stability in multispecies communities. The paper sets the scene for further research using NLV (mathematical) and ABM (ad-hoc) models. With this "parallel" approach we hope to address some classic problems such as Gause's Law and Paradox of the Plankton,  Paradox of Enrichment (system level instability), Oksanen's description and trophic level numbers,  and other current Complex Systems paradigms such as adaptivity, emergence, etc..