Publication Type : Conference Paper
Thematic Areas : Wireless Network and Application
Publisher : The 2nd International Conference on Data Storage and Data Engineering (DSDE 2011) , IEEE Xplore .
Source : The 2nd International Conference on Data Storage and Data Engineering (DSDE 2011) , IEEE Xplore (2011)
Keywords : Access points, Algorithms, AP selection, Central problems, Channel throughput, Communication, Dynamic loads, Emergency situation, Fairness algorithm, Greedy algorithms, Optimization, Optimization algorithms, Power efficient, Power wastage, Received signal strength, Telecommunication networks, Voice applications, Voice quality, VoWi-Fi, Wi-Fi
Campus : Amritapuri
School : School of Engineering
Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)
Department : Wireless Networks and Applications (AWNA)
Year : 2011
Abstract : WLAN is now widely used for emergency purposes because of its fast deployment capability. Efficient and intelligent arrangement and selection of access points (AP) are very crucial in emergency situations. Coverage and capacity are two central problems faced when APs are placed in a disaster scene. The paper proposes a power efficient algorithm for AP selection in emergency situations. The current AP selection algorithm only considers received signal strength, and this algorithm arise problems like overloading in APs, congestion and power wastage in networks. But the proposed Dynamic Load Balancing Fairness Algorithm (DLBFA) overcomes all these problems by using a new selection score, obtained by optimizing channel throughput and voice quality. Apart of this score the number of nodes connected to an AP and RSSI are also considered. The main advantage of DLBA is that it can work on both data and voice applications. © 2011 IEEE.
Cite this Research Publication : Dr. Maneesha V. Ramesh and Nisha, M. S., “Design of Optimisation Algorithm for WLAN AP Selection duringEmergency Situations”, in The 2nd International Conference on Data Storage and Data Engineering (DSDE 2011) , 2011.