A Framework for Modeling Sensor Networks
نویسندگان
چکیده
Recent technological advances are likely to increase sensor network development and deployment efforts. The expected growth in sensor network deployment requires efficient sensor network modeling techniques to facilitate initial programming of the sensor nodes and their eventual reprogramming once the network is deployed. The myriad of sensor network application scenarios, physical deployment media, communication technologies, and performance requirements complicates the efficient modeling of sensor networks. This paper proposes a framework for sensor network modeling based on general features identified through a careful analysis of existing sensor networks. This framework facilitates the modeling of new sensor networks by characterizing them according to these general features and providing a set of performance goals. The specification of each network’s performance requirements within this framework enables the appropriate selection of communication protocols. The discussion in this paper focuses on sensor network routing protocols, but the approach applies to any kind of communication protocols.
منابع مشابه
A Novel Comprehensive Taxonomy of Intelligent-Based Routing Protocols in Wireless Sensor Networks
Routing in ad-hoc networks, specifically intelligent-based ones, is a highly interested research topic in recent years. Most of them are simulation-based study. Large percentages have not even mentioned some of the fundamental parameters. This strictly reduces their validity and reliability. On the other hand, there is not a comprehensive framework to classify routing algorithms in wireless sen...
متن کاملA Deterministic Multiple Key Space Scheme for Wireless Sensor Networks via Combinatorial Designs
The establishing of a pairwise key between two nodes for encryption in a wireless sensor network is a challenging issue. To do this, we propose a new deterministic key pre-distribution scheme which has modified the multiple key space scheme (MKSS). In the MKSS, the authors define two random parameters to make better resilience than existing schemes. Instead of a random selection of these parame...
متن کاملA Fuzzy Based Approach for Rate Control in Wireless Multimedia Sensor Networks
Wireless Multimedia Sensor Networks (WMSNs) undergo congestion when a link (or a node) becomes overpopulated in terms of incoming packets. In WMSNs this happens especially in upstream nodes where all incoming packets meet and directed to the sink node. Congestion in networks, if not handled properly, might lead to congestion collapse which deteriorates the quality of service (QoS). Therefore, i...
متن کاملModeling and Performance Evaluation of Energy Consumption in S-MAC Protocol Using Generalized Stochastic Petri Nets
One of the features of wireless sensor networks is that the nodes in this network have limited power sources. Therefore, assessment of energy consumption in these networks is very important. What has been common practice has been the use of traditional simulators to evaluate the energy consumption of the nodes in these networks. Simulators often have problems such as fluctuating output values i...
متن کاملUnauthenticated event detection in wireless sensor networks using sensors co-coverage
Wireless Sensor Networks (WSNs) offer inherent packet redundancy since each point within the network area is covered by more than one sensor node. This phenomenon, which is known as sensors co-coverage, is used in this paper to detect unauthenticated events. Unauthenticated event broadcasting in a WSN imposes network congestion, worsens the packet loss rate, and increases the network energy con...
متن کاملRule-based joint fuzzy and probabilistic networks
One of the important challenges in Graphical models is the problem of dealing with the uncertainties in the problem. Among graphical networks, fuzzy cognitive map is only capable of modeling fuzzy uncertainty and the Bayesian network is only capable of modeling probabilistic uncertainty. In many real issues, we are faced with both fuzzy and probabilistic uncertainties. In these cases, the propo...
متن کامل