In this paper we set the scene for new low power wireless sensor network protocol and architecture suitable for field implementation in the context of Internet of Things (IoT), and a variety of security, defense or general campus applications, where the wireless sensor power expenditure is critical. The sensor network we propose is divided into sub-nets which account for sensor geographical “cngregation” due to a prescribed or an ad-hoc deployment, depending on the situation at hand. We consider a geographically fixed and static (not-moving-sensors) network but it is a dynamic one in a sense that the relationships between the sensor nodes (local and global) is a dynamic one (such as which sensor is “in charge” at any given time). We propose (i) new approach to low power sensor wireless protocol as well as (ii) an introductory description of the simulation environment to test protocol's effectiveness. The paper is a part of an ongoing research.

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 estimates of position and velocity and it is often used to reduce the search space and hence increase likelihood of 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 in this paper is to define better methodology to improve pose estimate, using real time target signature versus stored signatures. Besides applications in target tracking, there are numerous commercial applications in machine learning, augmented reality and body tracking.

In this paper we present new, dual approach to analysis and simulation of a complex nonlinear ecological system of preys and predators, using classic nonlinear dynamic LotkaVolterra mathematical model (LVM) in parallel with an Agent Based model (ABM), using model attributes description of the system. We propose to implement this dual approach using "mathematical" approach together with an "agent based" approach using appropriate modeling environments, such as Matlab and NetLogo. As the system models become more complex we aim at using both LVM and AMB to reinforce each other and check each other findings. This way the validity of the model and its usefulness would be greatly increased, and some long standing ecological paradoxes may be explained and

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..