TY - JOUR ID - 133280 TI - New Topology Control base on Ant Colony Algorithm in Optimization of Wireless Sensor Network JO - Passer Journal of Basic and Applied Sciences JA - PSR LA - en SN - 27065944 AU - Kakarash, Zana Azeez AU - Karim, Sarkhel H.Taher AU - Ahmed, Nawroz Fadhil AU - Omar, Govar Abubakr AD - Department of Engineering, Faculty of Engineering and Computer Science, Qaiwan International University, Sulaymaniyah, Iraq, Department of Information Technology, Kurdistan Technical Institute, Sulaymaniyah, Kurdistan Region, Iraq AD - Computer Science, College of Science, University of Halabja AD - Department of Information Technology, College of Science and Technology, University of Human Development, Sulaymaniyah, Iraq Y1 - 2021 PY - 2021 VL - 3 IS - 2 SP - 123 EP - 129 KW - Topology control KW - Wireless Sensor Network KW - Network Lifetime KW - Energy KW - Ant Colony Algorithm DO - 10.24271/psr.22 N2 - Wireless sensor networks (WSNs) have found great appeal and popularity among researchers, especially in the field of monitoring and surveillance tasks. However, it has become a challenging issue due to the need to balance different optimization criteria such as power consumption, packet loss rate, and network lifetime, and coverage. The novelty of this research discusses the applications, structures, challenges, and issues we face in designing WSNs. And proposed new Topology control mechanisms it will focus more on building a reliable and energy efficient network topology step by step through defining available amount of energy for each node within its cluster, sorting all within header, and selecting an active one (more power header) for signal routing. While sensor cover topology demonstrates network monitoring capability, connection topology should remain as a requirement for the successful delivery of information including queries, data collected, and control messages. How to build an optimized coating topology while remaining efficient and low-cost connection is not well understood and needs further research. Power control and power management are two different types of topology controllers. Also in our study, we examine network lifetime, compared to other schemas time of death of the first node and the last node, and found that network lifetime was increased. Finally, a topology control method for extending network lifetime is presented. UR - https://passer.garmian.edu.krd/article_133280.html L1 - https://passer.garmian.edu.krd/article_133280_d592655ada453ce8e0856e10e8289327.pdf ER -