بهينه سازي شبكه هاي حسگر بي سيم با استفاده از الگوريتم هاي ايمني مصنوعي

چكيده انگليسي :

Wireless Sensor Networks Optimization by Artificial Immune Systems Hossein Malekhosseini h malekhosseini@ec iut ac ir Date of Submission 2012 09 3 Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language FarsiSupervisor Abdolreza Mirzaee mirzaee@cc iut ac irAbstractWireless sensor networks are a new generation of networks that usually consist of a large number of lowpower sensors deployed randomly in an area and each node is wirelessly connected with all other nodes inits vicinity These sensors can monitor different parameters such as temperature humidity pressure vibration intensity and sound intensity Due to wireless sensor network s reliability self organization flexibility and ease of deployment their existing and potential applications vary widely As well they canbe applied to almost any environment especially those in which conventional wired sensor systems areimpossible or unavailable such as in inhospitable terrains battle elds outer space or deep oceans Themain purpose of wireless sensor networks is to collect information about the surrounding environment ofnetwork s sensors In wireless sensor networks reduction in sensor s energy consumption is one of theimportant issues that have drawn researcher s attention to it Artificial immune systems are a number ofalgorithms inspired by the human immune system Many properties of the immune system are of greatinterest for computer scientists and engineers The cells of the system are distributed all over the body and most importantly are not subject to any centralized control The system can learn the structures ofpathogens so that future responses to the same pathogens are faster and stronger The natural immunesystem mostly consists of lymphocytes and lymphoid organs There are two types of lymphocytes theT Cell and B Cell both created in the bone marrow The T Cell first becomes mature in the thymus whereas the B Cell is already mature after creation in the bone marrow This research proposed the using ofartificial immune systems in designing wireless sensor networks with low energy consumption One of theadvantages of the algorithms which are based on the pattern of artificial immune system is that they usememory cells These cells preserve and produce the suitable antigen after identifying the routes with themost attenuation Memory cells are used to choose the sensor cells to which the data will be sent Thereforethe process of identifying the node with the most energy is done quicker Also danger theory is used toprevent sending the packet to the nodes with the least neighboring Each time that routes with moreconsumed energy and attenuation are detected using the crossover operator a new generation is created thatis added to memory cells In other word routes that have the most attenuation and energy consumption arefound and this procedure increases the network s accuracy The results show that our algorithm is effectiveand it is working better than flooding and GEAR algorithms In the other hand our algorithm has maximumlifetime and minimum of attenuation compared with others Keywords Wireless sensor network energy consumption reduction artificial immune system danger theory

ملك حسيني، حسين

بهينه سازي شبكه هاي حسگر بي سيم با استفاده از الگوريتم هاي ايمني مصنوعي

كاهش مصرف انرژي , تئوري خطر