DocumentCode
742923
Title
Multi-objective optimisation for selective packet discarding in wireless sensor network
Author
Yaakob, Naimah ; Khalil, Ibrahim ; Atiquzzaman, Mohammed
Author_Institution
Sch. of Comput. Sci. & IT, RMIT Univ., Melbourne, VIC, Australia
Volume
5
Issue
3
fYear
2015
Firstpage
124
Lastpage
136
Abstract
Traffic convergence in wireless sensor networks (WSN) during simultaneous data transmission may overwhelm its limited buffer capacity, resulting in congestion, waste of resources and severe performance degradation. The obvious consequences include high packet loss rate, huge amounts of wasted energy and obsolete data that may lead to inaccurate information. Since WSN suffers from scarce resources such as energy, data transmission which is the main cause of energy depletion should be kept to the very minimum. Various studies have used packet discarding as a means to reduce high traffic volumes. However, none of these methods have ever been applied in WSN which possesses different characteristics. This study proposes a new technique for mitigating congestion by selectively discarding some of the least important packets to give sufficient room for more important ones to get through. The proposed discarding policy is integrated with multi-objective optimisation (MOO) which can optimise several objectives at once. The proposed selective packet discarding policy discards the unimportant packets based on some discarding criteria which will be optimised by the MOO. Performance evaluation using the optimisation tool (LINGGO) and simulation in Network Simulator 2 shows remarkable and promising performance with more than 50% improvement.
Keywords
optimisation; wireless sensor networks; LINGGO; MOO; Network Simulator 2; WSN; buffer capacity; energy depletion; multiobjective optimisation tool; selective packet discarding policy; simultaneous data transmission; traffic convergence; wireless sensor network;
fLanguage
English
Journal_Title
Wireless Sensor Systems, IET
Publisher
iet
ISSN
2043-6386
Type
jour
DOI
10.1049/iet-wss.2014.0020
Filename
7112872
Link To Document