Fuzzy Logic Control for Mobility Support in Industrial Wireless Sensor Networks
Mobility management is a crucial problem for wireless mobile communication, especially in wireless sensor networks (WSN). In this chapter, we show the need of providing an intelligent mobility controller, applicable to any WSN industrial environment or te
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Department of Computer Science, University of Cyprus, 1 University Ave., 2019 Nicosia, Cyprus 2 Department of Computer Science and Engineering, Frederick University, 7, Y. Frederickou Str. Pallouriotissa, 1036 Nicosia, Cyprus
Abstract. Mobility management is a crucial problem for wireless mobile communication, especially in wireless sensor networks (WSN). In this chapter, we show the need of providing an intelligent mobility controller, applicable to any WSN industrial environment or testbed setting with mobility requirements. In particular, we utilize fuzzy logic control, due to its reported strength in controlling nonlinear systems using linguistic information, to build an efficient mobility controller that aid sensor mobile entities to decide whether they have to trigger the handoff procedure and perform the handoff to a new connection position or not. Based on real industrial setting experiments, the fuzzy logic-based mobility controller has shown significant benefits compared to the RSSI-based conventional mobility solution, fulfilling basic performance requirements.
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Introduction
With the advancements in wireless communications and with the rapid growth in the number of mobile entities, mobility management is one of the most important and challenging problems for wireless mobile communication. Mobility management deals with all actions that must be taken in a network to support the movement of mobile users without losing connectivity. This is true both in infrastructure-based technologies (cellular, WLAN) and infrastructure-less types (ad-hoc, vehicular, sensor). In all cases when a mobile user/node moves to a new location it has to establish a new radio link with the target base-station/accesspoint/neighbour and release the connection with the previous, in a process called handoff. A basic handoff process consists of two main phases: (a) measurement phase, dealing with the mechanics of measuring important parameters and (b) the decision/execution phase, dealing with the algorithm parameters and handoff criteria [1]. While mobility management is a well understood and researched topic in cellular telephony and WLANs it is still a challenging topic in wireless sensor networks (WSN). WSNs promise fine-grain monitoring in a wide variety of environments and are expected to be deployed in difficult and often inaccessible environments, which from the communication perspective are also usually harsh. WSNs are expected, in many cases, to be densely deployed, with a large number of nodes A. Koubˆ aa and A. Khelil (eds.), Cooperative Robots and Sensor Networks 2014, Studies in Computational Intelligence 554, c Springer-Verlag Berlin Heidelberg 2014 DOI: 10.1007/978-3-642-55029-4_10,
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Z. Zinonos, C. Chrysostomou, and V. Vassiliou
within communication range, which exacerbates the communication problems. An emerging application area that combines all the issues mentioned above and in addition poses significant performance requirements on the networks and protocols is the use of WSNs in industrial and manufacturing set
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