Earticle

This paper strengthens the application of adaptive listening technology in S-MAC. When the nodes have no data to process, they are in dormancy state for most of the time, while when the data is coming, they become active quickly and participate in data transmission actively. The nodes which can feel the transmission is just around will participate in adaptive transmission as much as possible and make continuous adaptive listening within one dormancy period. In this way, realize the purpose of deceasing end to end delay greatly on the basis of not increasing additional energy consumption. For applications which are sensitive to system response time, the improved S-MAC is with greater application value.

In this paper, regarding to the online data compression issue of wireless sensor networks, a disconnected segmented linear compression algorithm GDPLA is proposed. The algorithm uses the least number of disconnected segments to approximate describing the original time series under the condition of the error limit ε be guaranteed. The algorithm GDPLA is an optimal algorithm from the number of segments generated. In addition, the GDPLA algorithm requires linear run-time only, and the linear coefficient is 6, which makes it suitable for resource-constrained wireless sensor networks. Finally, the experiments on two real data sets show that the compression rate of our algorithm is obviously superior to other algorithms.

Against the backdrop of Internet of Things on campus, this paper makes Internet of things cover the entire campus through wired and wireless accesses. As a result, campus sees the fulfillment of information transfer via computers, mobile phones, devices and other articles, which is the embodiment of intelligence. Besides, OPNET is used for modeling and simulation of wireless network structure in SDN intelligent campus, with a view to analyzing the feasibility and advantages of various campus network topologies. Then, a reasonable scheme is presented responding to different types of topologies, which is conducive to better building an intelligent campus.

For Radio Frequency IDentification (RFID) applications in Internet of Things, proper reader deployment is important because unguarded deployment may cause reader-to-tag or reader-to-reader interferences, incurring huge deployment cost. Current RFID topology designs are optimization-based whose heuristic search for optimal or sub-optimal solutions may take much complexity and whose improper utilization or concurrent consideration on the involved objectives may generate unfavorable results. To pursue more desirable reader deployment for RFID networks, this paper presents an efficient new topology design – NOP. NOP involves a Non-OPtimization practice to avoid the tediously long heuristic search in optimization-based methods and gives proper sequential considerations on involved objectives to avoid improper objective utilization. The conducted experimental evaluation shows that our NOP method can produce better reader deployment by reduced complexity. Specifically, it outperforms optimization-based methods, such as GA, GAA and IGAA, by yielding higher fitness values at less processing time and deployment cost.

This article is dedicated to the purpose of introducing the simplification of the triangular-network's multi-resolution, as well as the concept of grid, trigonometry, topographic goading, triangular-sector, etc. In addition, this article proposes a new algorithm that combines the layer-segmentation of the multi-resolution model and the binary space partitioning (BSP) tree, in which the layer-segmentation of the triangular belt is capable of achieving a better result in terms of dissolving the model, therefore creating the foundation of the BSP tree's structural setup. The purpose of finding BSP tree, on the other hand, is to identify sensitive data from the non-sensitive one, so that whatever data that is contacted with the viewpoint can be fully transferred and displayed. Speaking of the designing part of the database, this algorithm combines the latest techniques such as the XML.ADO.NET, and thereby capable of designing transfer plans accordingly.

As the communication technology is developing rapidly and the communication system and standard are updated constantly, people proposed the concept that the virtual radio is realized through software to achieve the interconnection among equipment. The paper shows the basic structure and module composition of virtual radio RF front-end, highlighting the key technology for hardware design of the whole RF front-end as well as the FPGA local control logic. The hardware, consisting of FPGA module and its control module, is provided with the relative design of circuit diagram. Moreover, the tests on RF front-end board are presented in the paper, proving that the board has favorable commonality to serve as the RF front-end for receiving and sending of wireless signals in software radio system, being used as wireless access card device and wireless system experiment device, and for building the industrial private communication system.

Against the background of a surge in software-defined network (SDN)as well as urgent demands for LTE-WIFI internetworking and IPv6 network integration, the paper integrates LTE mobile telecommunication technology, wireless local area network and 5G (the fifth generation mobile communication system)into one, in an attempt to complete routing, distribution, and transmission of different radio frequency signals (i.e.LTE, WIFI) on the SDN basis. As a result, large-area coverage of LTE-WIFI network signals is realized in a way that meeting the demands of reliability, safety,flexibility and extendibility for mobile internet. What is more, different complementary wireless telecommunication systems are closed combined with each other. Through the use of SDN integration technology, the paper designs network integration architecture of IP-LTE mobile internet and WIFI, and also studies on the application of SDN-based IP optical integration network, which has broad prospects.