A Cellular Automata Model for Wireless Sensor Networks
نویسندگان
چکیده
Modeling for wireless sensor networks is very challenging because the modeling needs to adapt network dynamics and find out multiple optimizing paths from the microscopic point of view. In this paper, we propose a cellular automata model that focuses on dynamic network topology, multipath data transmission mechanism and energy overhead. Each node in a network is represented by a cell, and any permutations and combinations that represent any links between two cells constitute the cellular space. A wireless sensor network is modeled by related cell states and cell evolution rule. A cell transmission model is derived for multipath transmission of information. All these aim to ensure network reliability with the minimum resource requirements. Presented analytical work is proved validly by simulations. KeywordsCellular Automata; Microscopic mode; Modeling; Wireless Sensor Networks.
منابع مشابه
An 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 کاملAn Adaptive Congestion Alleviating Protocol for Healthcare Applications in Wireless Body Sensor Networks: Learning Automata Approach
Wireless Body Sensor Networks (WBSNs) involve a convergence of biosensors, wireless communication and networks technologies. WBSN enables real-time healthcare services to users. Wireless sensors can be used to monitor patients’ physical conditions and transfer real time vital signs to the emergency center or individual doctors. Wireless networks are subject to more packet loss and congestion. T...
متن کاملA Cellular Automaton Based Algorithm for Mobile Sensor Gathering
In this paper we proposed a Cellular Automaton based local algorithm to solve the autonomously sensor gathering problem in Mobile Wireless Sensor Networks (MWSN). In this problem initially the connected mobile sensors deployed in the network and goal is gather all sensors into one location. The sensors decide to move only based on their local information. Cellular Automaton (CA) as dynamical sy...
متن کاملRegion Directed Diffusion in Sensor Network Using Learning Automata:RDDLA
One of the main challenges in wireless sensor network is energy problem and life cycle of nodes in networks. Several methods can be used for increasing life cycle of nodes. One of these methods is load balancing in nodes while transmitting data from source to destination. Directed diffusion algorithm is one of declared methods in wireless sensor networks which is data-oriented algorithm. Direct...
متن کاملRegion Directed Diffusion in Sensor Network Using Learning Automata:RDDLA
One of the main challenges in wireless sensor network is energy problem and life cycle of nodes in networks. Several methods can be used for increasing life cycle of nodes. One of these methods is load balancing in nodes while transmitting data from source to destination. Directed diffusion algorithm is one of declared methods in wireless sensor networks which is data-oriented algorithm. Direct...
متن کاملEIDA: An Energy-Intrusion aware Data Aggregation Technique for Wireless Sensor Networks
Energy consumption is considered as a critical issue in wireless sensor networks (WSNs). Batteries of sensor nodes have limited power supply which in turn limits services and applications that can be supported by them. An efcient solution to improve energy consumption and even trafc in WSNs is Data Aggregation (DA) that can reduce the number of transmissions. Two main challenges for DA are: (i)...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011