TY - GEN A1 - Mank, Stephan A1 - Karnapke, Reinhardt A1 - Nolte, Jörg T1 - MLMAC - An Adaptive TDMA MAC Protocol for Mobile Wireless Sensor Networks Y1 - 2009 ER - TY - GEN A1 - Mank, Stephan A1 - Karnapke, Reinhardt A1 - Nolte, Jörg T1 - MAC Protocols for Wireless Sensor Networks: Tackling the Problem of Unidirectional Links T2 - International journal on advances in networks and services Y1 - 2009 SN - 1942-2644 VL - 2 IS - 4 SP - 218 EP - 229 ER - TY - GEN A1 - Karnapke, Reinhardt A1 - Nolte, Jörg T1 - Buckshot Routing with Distance Vectors in Three Application Scenarios for Wireless Sensor Networks with Unstable Network Topologies and Unidirectional Links T2 - Journal on Sensors and Transducers N2 - Experiments have shown that the number of asymmetric and unidirectional links often exceeds the number of bidirectional ones, especially in the transitional area of the communication range of wireless sensor nodes. Still, most of today’s routing protocols ignore their existence or try to remove their implications. Also, links are not stable over time, and routes become unusable often, resulting in a need for new routing protocols that can handle highly dynamic links and use unidirectional links to their advantage. At Sensorcomm 2014, we presented BuckshotDV, a routing protocol which is resilient against link fluctuations and uses the longer reach of unidirectional links to increase its performance. Furthermore, its distance vector nature makes it scalable for large sensor networks. This paper is an extended version which adds some implementation details and the evaluation of BuckshotDV in two more application scenarios. Y1 - 2015 SN - 1726-5479 SN - 2306-8515 VL - 185 IS - 2 SP - 53 EP - 67 ER - TY - GEN A1 - Karnapke, Reinhardt A1 - Nolte, Jörg T1 - Triangle Routing in Wireless Sensor Networks with Unidirectional Links Revisited - a Look at Different Scenarios T2 - International Journal on Advances in Networks and Services N2 - Experiments with wireless sensor networks have shown that links are often asymmetric or unidirectional. This represents a serious problem for many routing protocols, which often depend on bidirectional links. Routing protocols that can use unidirectional links often induce a high overhead. To overcome this problem we introduced Unidirectional Link Triangle Routing, a routing protocol, which uses neighborhood information, gathered actively or passively, to route around unidirectional links. In this paper, we describe Unidirectional Link Triangle Routing in further detail and present additional evaluation results from different application scenarios. Y1 - 2014 SN - 1942-2644 VL - 17 IS - 1/2 SP - 72 ER - TY - GEN A1 - Sieber, André A1 - Nolte, Jörg A1 - Karnapke, Reinhardt T1 - Compensating Dynamic Effects with Budget-based Energy Management to Reach Lifetime Goals T2 - Sensors & Transducers N2 - Nodes within sensor networks often have tight bound goals for the lifetime while running from a non-renewable energy source. Variations within the hardware or induced by the software complicate the prediction of the energy consumption. Additionally, batteries are vulnerable to temperature and non-linear effects. To reach certain lifetime goals under these influences without sacrificing energy due to pessimistic estimations, online energy management is necessary. At Sensorcomm 2015 we presented policies to control the behavior of applications and devices using energy budgets. This paper is an extended version which adds further details and the evaluation of the proposed dynamic energy management in a real-world scenario. KW - Wireless Sensor Networks KW - Energy Management KW - Lifetime Goals Y1 - 2015 SN - 2306-8515 VL - 194 IS - 11 SP - 22 EP - 34 ER - TY - GEN A1 - Richter, Martin A1 - Karnapke, Reinhardt A1 - Werner, Matthias T1 - Utilizing sensor and actuator virtualization to achieve a systemic view of mobile heterogeneous cyber-physical systems T2 - Proceedings of the 14th International Conference on Simulation and Modeling Methodologies, Technologies and Applications N2 - When programming cyber-physical systems, application developers currently utilize physical sensors and actuators individually to achieve the desired observations and impacts within the physical world. This is an error-prone and complex task given the size, heterogeneity, and mobility of prevailing cyber-physical systems. We introduce an application model that allows the application developers to take a physical perspective. By means of this model, the programmers describe desired observations and influences with respect to the physical world without directly referencing physical devices. We present an additional model for a runtime environment that transparently utilizes the available physical devices to reach the application developers’ targets. We show that an implementation of our models is functional via simulation. KW - Cyber-Physical Systems KW - Virtualization KW - Mobility KW - Heterogeneity KW - Transparency Y1 - 2024 SN - 978-989-758-708-5 U6 - https://doi.org/10.5220/0012715800003758 SP - 207 EP - 214 PB - SCITEPRESS - Science and Technology Publications ER - TY - GEN A1 - Herglotz, Christian A1 - Jabłoński, Ireneusz A1 - Karnapke, Reinhardt A1 - Shahin, Keyvan A1 - Reichenbach, Marc T1 - Designing intelligent sensor networks : a comprehensive survey of sensing, edge AI, and 5G+/6G connectivity T2 - IEEE access N2 - With the advent of advanced transmission technologies, powerful neural-network architectures, and the availability of cheap sensing solutions, new paradigms for monitoring, controlling, and optimizing any automated system are appearing. While traditionally, sensors simply provided visual or acoustic feedback to human operators of such systems, nowadays, autonomous systems more and more rely on the automatic sensing and processing of such data to react and adapt their control mechanisms. In such complex control systems, sensor networks play a vital role. In this paper, we assess the state of the art in the three main components used within sensor networks: smart sensing elements, transmission technologies, and processing technologies. Concerning the latter, more and more artificial intelligence-based methods are developed and applied turning smart sensor networks into intelligent or even cognitive sensor networks. For the development of such sensing systems, a high variety of performance metrics could be important to the designer. This paper discusses the vast design space for intelligent sensor networks and provides guidance and directions on how to construct future intelligent sensor networks efficiently. KW - 5G, Sensor networks, Edge computing, Energy efficiency, KPIs, Design space, AI Y1 - 2025 U6 - https://doi.org/10.1109/ACCESS.2025.3615205 SN - 2169-3536 VL - 13 SP - 172306 EP - 172325 PB - IEEE CY - Piscataway, NJ ER -