Afro-European Conference for Industrial Advancement: by Ajith Abraham, Pavel Krömer, Vaclav Snasel

By Ajith Abraham, Pavel Krömer, Vaclav Snasel

This quantity comprises approved papers offered at AECIA2014, the 1st overseas Afro-European convention for commercial development. the purpose of AECIA was once to compile the most important specialists in addition to very good younger researchers from Africa, Europe, and the remainder of the area to disseminate newest effects from a number of fields of engineering, details, and conversation applied sciences. the 1st variation of AECIA used to be equipped together via Addis Ababa Institute of know-how, Addis Ababa collage, and VSB - Technical college of Ostrava, Czech Republic and came about in Ethiopia's capital, Addis Ababa.

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This paper also contains comprehensive details of the various C-RAN deployment methodologies based on the mobile traffic needs and describes about the perception of C-RAN technology by different mobile operators. Keywords: C-RAN, BU pool, RRU, centralized baseband processing, mobile fronthaul. 1 Introduction As smartphone users are more habitual to mobile internet with smart applications handling streaming video and audio, there is an explosion of the mobile traffic. The conventional mobile network cannot meet the demand of large amounts of mobile data traffic unless until very dense and low-power small-cell networks with a very high spatial reuse are being deployed.

Kr¨ omer The following decoding rule is applied to satisfy the requirements for mixture member weights ωj defined in (5). ⎧ v, j = 1, i = 2k + 1 ⎪ ⎪ ⎨ i j−1 . (18) ωj = ⎪ 1 − , j > 1, i = 2k + 1 + j w v ⎪ i l ⎩ l=1 It guarantees that the sum of all weights ωj is equal to 1 and does not impose any additional constraints on candidate vector handling. All vectors created in scope of the optimization process are valid candidate solutions representing a mixture of k von Mises distributions. 1. The fitness of each candidate solution is evaluated using Pearson’s χ2 function (12).

Keywords: multi-source multi-sink wireless sensor networks, reliable data transmission, wireless sensor networks. 1 Introduction A wireless sensor network (WSN) consists of a group of self-organizing, lightweight sensor nodes that are used to cooperatively monitor physical or environmental conditions. Commonly monitored parameters include temperature, sound, humidity, vibration, pressure, motion and so on. Although WSN research was initially motivated by military applications, WSNs are now used in many industrial and public service areas including traffic monitoring, weather conditions monitoring, video c Springer International Publishing Switzerland 2015 A.

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