Kablosuz algılayıcı ağlarda hedef kapsama problemi için algılayıcı dağıtımı ile ağın yaşam süresinin optimizasyonu

Ozdag, Recep O.

doi:10.17341/gazimmfd.369516

Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

2017

DOI: 10.17341/gazimmfd.369516

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Kablosuz algılayıcı ağlarda hedef kapsama problemi için algılayıcı dağıtımı ile ağın yaşam süresinin optimizasyonu

Recep O. Ozdag¹

Abstract: Ağ yaşam süresi Kablosuz Algılayıcı Ağ (KAA)'ların etkinliğini belirleyen kritik bir faktördür. Askeri ve sivil uygulamalarda KAA'ların kapsanmasının sürekliliği açısından hedefleri izleyen algılayıcı düğümlerin pil ömürlerinin optimizasyonu ağın yaşam süresinin uzatılmasında önemli bir rol oynar. KAA'ları oluşturan algılayıcı düğümlerin sınırlı pil ömürleri bulunduğu için algılayıcıların kendi aralarında haberleşmeleri ve ilgili alanı algılamaları neticesinde enerjileri gittikçe azalır. Nihayetinde düğüm ener… Show more

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Cited by 2 publications

References 22 publications

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Nesnelerin interneti teknolojisi için güvenlik: Var olan mekanizmalar, protokoller ve yaşanılan zorlukların araştırılması

Görmüş¹,

Aydın²,

Ulutaş³

2018

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

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 Security in internet of things  Research challenges in internet of things protocols  Introduction of security features of state of the art 6TiSCH and 6LoWPAN protocols As small devices are being integrated to the Internet, there is a growing interest toward technologies enabling this integration. Internet Engineering Task Force (IETF) has been developing technologies such as 6LoWPAN, 6TiSCH to reliably include small devices into the Internet. The goal of these efforts is to create the next generation Internet where the small devices can communicate with each other over the Internet without complex network gateways. This new concept, which will be connecting billion of devices to each other over the Internet, is called the Internet of Things (IoT). As a result, the new Internet will be not only a network of personal computers, mobile devices and servers, but also it will include vehicles, house appliances, factories and wearable devices. As the small devices increasingly becomes the part of the Internet, billions of small devices will be the source and the destination of a large portion of the Internet traffic. A large portion of the Internet enabled embedded devices will have to face the security challenges put forward by Internet with limited resources. In this study, the protocols and mechanisms for securing IoT networks will be analyzed at each layer of the protocol stack. Figure A: Internet of Things usage areas Purpose: In this study, the protocols used for secure communication in the Internet technology of things are examined by considering the architectural structure of small devices. Theory and Methods: At each layer of the protocol stack, the challenges and possible solutions will be presented. Furthermore, the steps necessary for enabling a secure and dependable IoT will be outlined from the perspective of new protocols such as 6LoWPAN, 6TiSCH. experimental method or theory of the study should be given briefly. Results: As can be understood from the work done, the Internet of things should be considered an integral part of the security of the next generation Internet, and in this context solutions with low complexity and high reliability must be configured for the Internet networks of Things. Conclusion: Current asymmetric cryptographic techniques should be optimized to be usable in restricted devices and made compatible with IoT technology.

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Nesnelerin interneti teknolojisi için güvenlik: Var olan mekanizmalar, protokoller ve yaşanılan zorlukların araştırılması

Görmüş¹,

Aydın²,

Ulutaş³

2018

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

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Olurluğu arttırılmış parçacık sürü optimizasyonunda çok amaçlı ve tek amaçlı yaklaşımların kıyaslanması

Hasanoglu

Dölen²

2019

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

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Highlights:Graphical/Tabular Abstract  Multi-objective and singleobjective feasibility enhanced particle swarm optimization  Pareto optimality based multi-objective optimization approach  Fixed weight linearly aggregated objective functions Figure A. Solutions obtained by the multi-objective approach provides design alternatives in the solution domain whereas the single objective approach gives a single solution for the given criteriaPurpose: Comparison of a Pareto based multi-objective feasibility enhanced particle swarm optimization approach with fixed weight linearly aggregated single-objective optimization using a variant of the same algorithm. Evaluation of the advantages presented by the multi-objective approach. Theory and Methods:Solutions for three separate multi-objective constrained problems were obtained using two different approaches: Pareto based multi-objective feasibility enhanced particle swarm optimization Singleobjective feasibility enhanced particle swarm optimization using fixed weight linearly aggregated singleobjective variants of the problems. Results:Comparisons involving three problems (two of which were highly constrained) revealed that optimizations performed using the multi-objective approach resulted in solutions that were also suitable for all singleobjective criteria. Results obtained by a single multi-objective optimization run were found to be at least as good as results obtained by separate aggregated-objective runs for each aggregated criterion. Conclusion:In Pareto optimality based optimization algorithms a Pareto front consisting of many non-dominated solutions are found in each run instead of a single solution. Therefore: The designer can choose from these non-dominated solutions with a clear trade-off between known values of all objectives. This approach allows performing the trade-off without requiring rerunning the optimization with new objective weights. If efficient Pareto optimality based multi-objective optimization algorithms are available, it is unnecessary to employ single-objective approaches by combining the objectives with presumably biased weights assigned with insufficient information related with the problem.

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Kablosuz algılayıcı ağlarda hedef kapsama problemi için algılayıcı dağıtımı ile ağın yaşam süresinin optimizasyonu

Cited by 2 publications

References 22 publications

Nesnelerin interneti teknolojisi için güvenlik: Var olan mekanizmalar, protokoller ve yaşanılan zorlukların araştırılması

Nesnelerin interneti teknolojisi için güvenlik: Var olan mekanizmalar, protokoller ve yaşanılan zorlukların araştırılması

Olurluğu arttırılmış parçacık sürü optimizasyonunda çok amaçlı ve tek amaçlı yaklaşımların kıyaslanması

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