BIO Inspired Clustering and Routing for Wireless Sensor Networks
نویسندگان
چکیده
منابع مشابه
BIO Inspired Clustering and Routing for Wireless Sensor Networks
A quality literature survey was carried out in the area of Wireless Sensor Network and it was observed that leach protocol which has been proposed in the literature phase continued some problem, i.e. cluster construction and cluster head selection. PEGASIS overcome shortcomings of LEACH but PEGASIS still lack in outperforms the other two protocols in terms of system lifetime and quality of netw...
متن کاملHybrid Bio-Inspired Clustering Algorithm for Energy Efficient Wireless Sensor Networks
In order to achieve the sensing, communication and processing tasks of Wireless Sensor Networks, an energy-efficient routing protocol is required to manage the dissipated energy of the network and to minimalize the traffic and the overhead during the data transmission stages. Clustering is the most common technique to balance energy consumption amongst all sensor nodes throughout the network. I...
متن کاملA bio-inspired distributed clustering algorithm for wireless sensor networks
Wireless sensor networks (WSNs) have emerged in strategic applications such as target detection, localization, and tracking in battlefields, where the large-scale nature renders centralized control prohibitive. In addition, the finite batteries in sensor nodes demand energy-aware network control. In this paper, we propose an energy-efficient topology management model that allows clustered nodes...
متن کاملMLCA: A Multi-Level Clustering Algorithm for Routing in Wireless Sensor Networks
Energy constraint is the biggest challenge in wireless sensor networks because the power supply of each sensor node is a battery that is not rechargeable or replaceable due to the applications of these networks. One of the successful methods for saving energy in these networks is clustering. It has caused that cluster-based routing algorithms are successful routing algorithm for these networks....
متن کاملAn Ant-Colony Optimization Clustering Model for Cellular Automata Routing in Wireless Sensor Networks
High efficient routing is an important issue for the design of wireless sensor network (WSN) protocols to meet the severe hardware and resource constraints. This paper presents an inclusive evolutionary reinforcement method. The proposed approach is a combination of Cellular Automata (CA) and Ant Colony Optimization (ACO) techniques in order to create collision-free trajectories for every agent...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2016
ISSN: 0975-8887
DOI: 10.5120/ijca2016912184