يعد التعقب باستخدام شبكات الحساسات اللاسلكية من التطبيقات التي تشهد نمواً كبيراً. و نظرا لمحدودية شبكات الحساسات اللاسلكية من حيث مصدر الطاقة، تستمر الأبحاث لتحسين طرق نقل المعلومات و توجيهها بما يضمن استهلاكاً أقل للطاقة. لذلك قمنا في هذا البحث بتحسين طريقة توجيه معلومات موقع الهدف في الشبكة و ذلك بتقديم خوارزمية جديدة، تستفيد من مفهوم العنقدة في شبكة الحساسات اللاسلكية، مع إضافة إمكانية التفاعل ما بين الحساسات الحقلية التي تنتمي لعناقيد مختلفة، حيث لا يمكن التفاعل فيما بينها في الحالة التقليدية لعمل الشبكات العنقودية، و ذلك اعتماداً على بارامتر شدة الإشارة المستقبلة من الهدف في الحساسات لغاية التخلص من تكرار نقل نفس المعلومة، مما ينعكس إيجاباً على عمر الشبكة و الحصول أيضاً على إشارة أكثر دقة لموقع الهدف. قمنا بتطبيق الخوارزمية المقترحة و إظهار نتائجها باستخدام محاكي OPNET الذي يعد من أفضل المحاكيات في مجال الشبكات بأنواعها المختلفة.
The tracking using wireless sensor networks is one of the applications that are
experiencing significant growth. Due to considerations of wireless sensor networks in
terms of limited energy source, researches continue to improve methods of routing and
transforming information to ensure lower power. Therefore, we have in this research
improved the routing of target location information within WSN by providing a new
algorithm, which takes advantage of the concept of clustering for wireless network sensors,
with the addition of the possibility of interaction between field sensors that belong to
different clusters, where in other cases, they cannot interact with each other in the
traditional case of cluster networks. to get rid of repeating the same information transfer,
we depend on the parameter intensity of the received signal from the target in the sensors,
which will reflect positively on the network age, and give a more accurate indication of the
target site. We have implemented the proposed algorithm and showed the results of using
the simulator OPNET which is one of the best simulators in the field of various types of
networks.
References used
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The location of wireless sensor nodes located in the center is necessary for applications
where information about the site is important information such as security, protection,
object tracking and other applications.
localization algorithms are c
The low cost, ease of deployment has exposed WSNs an attractive choice for numerous applications,like environmental monitoring applications , security applications, real time tracking, and so on.
But in reality, these networks are operated on batte
Mobile Wireless Sensor Network (MWSN) is an emerging technology for attraction of
researchers with its research advantage and various application domains. Due to limited
resources of sensor nodes such as transmission power, communication capability
Wireless Sensor Networks (WSNs) are often deployedrandomly;this makes the
positiondetermination of deployed nodes a very difficult issue, which is called localization
problem. The importance of node localization information becomes from the facilit
In this research we study some of the most Bio-inspired MAC
protocols widely used in WSNs. we select the protocols which
depends on ant colony optimization behavior (ACO), bee colony
optimization behavior (BCO) and particle swarm optimization.