شماره ركورد كنفرانس :
4001
عنوان مقاله :
A NEW COVERAGE HOLE LOCALIZATION ALGORITHM IN MOBILE WSNS, WITHOUT LOCATION INFORMATION ( BASED ON ALGEBRAIC TOPOLOGY)
پديدآورندگان :
Toori Shima st69626@yahoo.com Kerman Graduate University of Technology
تعداد صفحه :
6
كليدواژه :
Wireless Sensor Networks , (Co)homology , Algebraic Topology , Hole Detection , Moving Coverage
سال انتشار :
1396
عنوان كنفرانس :
دومين همايش بين المللي پژوهش هاي اطلاعات مكاني و چهارمين همايش بين المللي سنجنده ها و مدل ها در فتوگرامتري و سنجش از دور و ششمين همايش بين المللي مشاهدات زميني در تغييرات محيطي
زبان مدرك :
انگليسي
چكيده فارسي :
In recent years, wireless sensor networks data is taken into consideration as an ideal source, in terms of speed, accuracy and cost, in order to study the Earth s surface. One of the most important challenges in this area, is the signaling network coverage and finding holes. For this purpose, previous studies used random methods or complex assumptions. Their heavy calculations and time-consuming approaches, prevent algorithms to be implemented to dynamic sensors. This Article has provided a new cost-effective and efficient method of coverage hole detection in wireless sensor networks with no location information, using algebraic topology. In the proposed method, first, the null space of the first Laplacian is investigated. This space is equal to the first (co)homology group. If the amount is trivial, the network coverage is complete, else, there is a sign of the existence of holes in network coverage. In other words, the rank of harmonics matrix shows the number of no-coverage areas. In the following, hole location extraction method is discussed using divide and conquer algorithms combined with the use of features of elements in the laplacian matrix null space. Since the method has not been used to diagnose areas without coverage in mobile networks yet, in order to evaluate the results, we estimated the performance of the algorithm in detection of areas without network coverage in a simulated underwater moving sensor network. The final results indicate the powerful performance and accuracy of the proposed algorithm.
كشور :
ايران
لينک به اين مدرک :
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