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Marko Hännikäinen

Bio: Marko Hännikäinen is an academic researcher from Tampere University of Technology. The author has contributed to research in topics: Wireless sensor network & Wireless network. The author has an hindex of 27, co-authored 128 publications receiving 3061 citations.


Papers
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Proceedings ArticleDOI
30 Aug 2006
TL;DR: This paper presents an AES encryption hardware core suited for devices in which low cost and low power consumption are desired and constitutes of a novel 8-bit architecture and supports encryption with 128-bit keys.
Abstract: The Advanced Encryption Standard (AES) algorithm has become the default choice for various security services in numerous applications. In this paper we present an AES encryption hardware core suited for devices in which low cost and low power consumption are desired. The core constitutes of a novel 8-bit architecture and supports encryption with 128-bit keys. In a 0.13 im CMOS technology our area optimized implementation consumes 3.1 kgates. The throughput at the maximum clock frequency of 153 MHz is 121 Mbps, also in feedback encryption modes. Compared to previous 8-bit implementations, we achieve significantly higher throughput with corresponding area. The energy consumption per processed block is also lower.

289 citations

Journal ArticleDOI
TL;DR: A framework in which a middleware distributes the application processing to a WSN so that the application lifetime is maximized is recommended, and an approach providing a complete distributed environment for applications is absent.
Abstract: Wireless sensor networks (WSNs) are deployed to an area of interest to sense phenomena, process sensed data, and take actions accordingly. Due to the limited WSN node resources, distributed processing is required for completing application tasks. Proposals implementing distribution services for WSNs are evolving on different levels of generality. In this paper, these solutions are reviewed in order to determine the current status. According to the review, existing distribution technologies for computer networks are not applicable for WSNs. Operating systems (OSs) and middleware architectures for WSNs implement separate services for distribution within the existing constraints but an approach providing a complete distributed environment for applications is absent. In order to implement an efficient and adaptive environment, a middleware should be tightly integrated in the underlying OS. We recommend a framework in which a middleware distributes the application processing to a WSN so that the application lifetime is maximized. OS implements services for application tasks and information gathering as well as control interfaces for the middleware.

244 citations

Proceedings ArticleDOI
04 Dec 2007
TL;DR: A novel algorithm to rapidly create a high quality network plan for IEEE 802.11 based WLAN according to assigned design requirements was used in WLAN planning for a suburb, which is under development in Tampere-Lempaala area in Finland.
Abstract: This paper presents a novel algorithm to rapidly create a high quality network plan for IEEE 802.11 based WLAN according to assigned design requirements. The algorithm uses a Genetic Algorithm (GA) to explore the design space, and a IEEE 802.11 rate adaptation aware QoS estimation functionality to provide feedback for the algorithm and for a network designer. The algorithm selects AP devices, locations, antennas, as well as AP configuration including transmission power and frequency channel. The algorithm was used in WLAN planning for a suburb, which is under development in Tampere-Lempaala area in Finland. Compared to manual network planning, the developed algorithm was able to create a network plan with 133 % capacity, 98 % coverage, and 93 % cost. Manually the corresponding network planning took hours, whereas the algorithm computation time was 15 minutes.

227 citations

Proceedings ArticleDOI
06 Oct 2006
TL;DR: This paper analyses the performance of IEEE 802.15.4 Low-Rate Wireless Personal Area Network (LR-WPAN) in a large-scale Wireless Sensor Network (WSN) application and finds that the minimum device power consumption is as low as 73 μW, when beacon interval is 3.93 s, and data are transmitted at 4 min intervals.
Abstract: This paper analyses the performance of IEEE 802.15.4 Low-Rate Wireless Personal Area Network (LR-WPAN) in a large-scale Wireless Sensor Network (WSN) application. To minimize the energy consumption of the entire network and to allow adequate network coverage, IEEE 802.15.4 peer-to-peer topology is selected, and configured to a beacon-enabled cluster-tree structure. The analysis consists of models for CSMA-CA mechanism and MAC operations specified by IEEE 802.15.4. Network layer operations in a cluster-tree network specified by ZigBee are included in the analysis. For realistic results, power consumption measurements on an IEEE 802.15.4 evaluation board are also included. The performances of a device and a coordinator are analyzed in terms of power consumption and goodput. The results are verified with simulations using WIreless SEnsor NEtwork Simulator (WISENES). The results depict that the minimum device power consumption is as low as 73 μW, when beacon interval is 3.93 s, and data are transmitted at 4 min intervals. Coordinator power consumption and goodput with 15.36 ms CAP duration and 3.93 s beacon interval are around 370 μW and 34 bits/s

180 citations

Proceedings ArticleDOI
28 Apr 2003
TL;DR: The design and implementation of the Bluetooth local positioning application based on received power levels, which is converted to distance estimates according to a simple propagation model, and the extended Kalman filter computes a 3D position estimate on the basis of distance estimates.
Abstract: This paper presents the design and implementation of the Bluetooth local positioning application. Positioning is based on received power levels, which are converted to distance estimates according to a simple propagation model. The extended Kalman filter computes a 3D position estimate on the basis of distance estimates. With the used Bluetooth hardware, the mean absolute error of positioning was measured to be 3.76 m. The accuracy can be improved if Bluetooth devices are able to measure received power levels more precisely.

180 citations


Cited by
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Journal ArticleDOI

[...]

08 Dec 2001-BMJ
TL;DR: There is, I think, something ethereal about i —the square root of minus one, which seems an odd beast at that time—an intruder hovering on the edge of reality.
Abstract: There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality. Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

33,785 citations

Journal ArticleDOI
01 Nov 2007
TL;DR: Comprehensive performance comparisons including accuracy, precision, complexity, scalability, robustness, and cost are presented.
Abstract: Wireless indoor positioning systems have become very popular in recent years. These systems have been successfully used in many applications such as asset tracking and inventory management. This paper provides an overview of the existing wireless indoor positioning solutions and attempts to classify different techniques and systems. Three typical location estimation schemes of triangulation, scene analysis, and proximity are analyzed. We also discuss location fingerprinting in detail since it is used in most current system or solutions. We then examine a set of properties by which location systems are evaluated, and apply this evaluation method to survey a number of existing systems. Comprehensive performance comparisons including accuracy, precision, complexity, scalability, robustness, and cost are presented.

4,123 citations

Book ChapterDOI
28 Sep 2011
TL;DR: This work considers the resistance of ciphers, and LED in particular, to related-key attacks, and is able to derive simple yet interesting AES-like security proofs for LED regarding related- or single- key attacks.
Abstract: We present a new block cipher LED. While dedicated to compact hardware implementation, and offering the smallest silicon footprint among comparable block ciphers, the cipher has been designed to simultaneously tackle three additional goals. First, we explore the role of an ultra-light (in fact non-existent) key schedule. Second, we consider the resistance of ciphers, and LED in particular, to related-key attacks: we are able to derive simple yet interesting AES-like security proofs for LED regarding related- or single-key attacks. And third, while we provide a block cipher that is very compact in hardware, we aim to maintain a reasonable performance profile for software implementation.

848 citations

Book ChapterDOI
30 Aug 2009
TL;DR: A new family of very efficient hardware oriented block ciphers divided into two flavors, which is more compact in hardware, as the key is burnt into the device (and cannot be changed), and achieves encryption speed of 12.5 KBit/sec.
Abstract: In this paper we propose a new family of very efficient hardware oriented block ciphers. The family contains six block ciphers divided into two flavors. All block ciphers share the 80-bit key size and security level. The first flavor, KATAN, is composed of three block ciphers, with 32, 48, or 64-bit block size. The second flavor, KTANTAN, contains the other three ciphers with the same block sizes, and is more compact in hardware, as the key is burnt into the device (and cannot be changed). The smallest cipher of the entire family, KTANTAN32, can be implemented in 462 GE while achieving encryption speed of 12.5 KBit/sec (at 100 KHz). KTANTAN48, which is the version we recommend for RFID tags uses 588 GE, whereas KATAN64, the largest and most flexible candidate of the family, uses 1054 GE and has a throughput of 25.1 Kbit/sec (at 100 KHz).

733 citations