The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We consider energy efficient packet forwarding with quality-of-service (QoS) guarantee for wireless sensor networks (WSNs). In most existing wireless network protocols, route planning and transmission rate setting are considered independently, however, we observe that energy consumption can be significantly reduced by combining these two aspects together when making forwarding decision. This is because...
The power-aware geographic routing algorithms provide energy-efficient and scalable solutions for wireless sensor networks. However, to the knowledge of the authors, no previous work has analyzed the impacts of localization errors on energy consumption in the power-aware routing, and no solution for this problem has been brought forward. In this paper, the error distribution of the widely used MLE...
In wireless sensor networks, when localization errors do not exist, the power-aware geographic routing algorithm can significantly reduce the routing energy consumption and prolong the network lifetime. However, in this paper, it is shown that localization errors may incur enormous delivery failures and more energy consumption in the power-aware routing. Based on the analysis of two main routing error...
In wireless sensor networks, the power-aware routing algorithm (PowerCost) can effectively reduce routing energy consumption and prolong the network lifetime, however, it can not tolerate localization errors. In contrast, the greedy routing algorithm is robust to localization errors but is not energy-efficient. In this paper, based on the analysis of the tradeoff between robustness and energy-efficiency,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.