Current mobile terminals are often equipped with several network interfaces, which may be of different access technologies, both wireless and cellular. It is possible to select dynamically the best interface according to different attributes such as the interface characteristics, user preferences and/or application preferences … MADM is an algorithmic approach suitable to realize a dynamic interface selection with multiple alternatives (interfaces) and attributes (interface characteristics, user preferences …). In this paper, we propose the Distance to ideal Alternative (DiA) algorithm to help terminal to select dynamically the best interface and deals with the ranking abnormalities of the TOPSIS method and the ranking identification of the SAW and WP method. Simulation results in are presented to validate the DiA algorithm.

Sensor network which operates on battery are used to gather data in a variety of environments. The data collected by each node is communicated through the network to the sink, which uses all reported data to determine characteristics of the environment or detect an event. Prolonging sensor's operable lifetime is a main design challenge of these networks. A good energy saving technique in this direction is to schedule nodes sleep interval with the communication radio turned off. In this paper, we propose a distributed topology control algorithm, termed ECTC, which uses a clustering approach. It is built on the notion that when a region of a shared channel wireless sensor network has a sufficient density of nodes, significant energy saving is obtained by allowing redundant nodes to sleep. Using the two-hop neighborhood information, certain nodes sequentially select a subset of nodes to be active among all nodes in the neighborhood, to ensure connectivity. Moreover, to ensure fairness, the role of active nodes is rotated periodically to ensure energy-balanced operations. Results from stochastic geometry are used to derive solutions for the values of parameters of our algorithm that minimize the total energy spent in the network when all sensor nodes report data through the cluster heads to the sink.

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In heterogeneous wireless networks, multiinterfaced mobile terminals may be connected to links with rapidly varying MAC and physical characteristics. On the other hand, current deployment of communication protocols rely on the information available at associated layer only. In order to improve transport layer performance for multi-homed mobile terminals, we propose a cross-layer approach to schedule data over multiple available paths. Our data-striping approach strengthens the cooperation between higher and lower layers and enables transport layer mechanism to exploit information provided by MAC layer. We compare our approach with existing techniques and prove that our cross-layer system improves multipath performance over single-layer multipath systems.

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