Wireless sensor networks are being more and more considered for critical applications where security issues are a priority. Security protocols are based on complicated algorithms that are very time consuming. The limited processing capabilities of sensor nodes make these protocols even more time consuming. Security algorithms based on the theory of chaos have been introduced in order to reduce the complexity of cryptographic operations. A novel chaos based algorithm aiming at enhancing the security robustness has been proposed for wireless sensor networks. On the other hand, a version of the well known AES algorithm has been adopted by various wireless sensor networks standards such as ZigBee, WirelessHART and ISA100.11a, for it is considered as a reliable and robust algorithm. In this paper, we evaluated both algorithms on TelosB motes and prove that the chaos based algorithm is much faster than the AES based algorithm and still achieve the same cryptography quality.
Wireless sensor networks are increasingly used for remote monitoring, fire detection, emergency response. Such networks are equipped with small devices powered by batteries and designed to be operated for years. They are often based on the ZigBee standard which defines low power and low data rate protocols. As network size and data rates increase, congestion arises as a problem in these networks, especially when an emergency situation generates alarm messages in a specific area in the network. Indeed, congestion occurs as the alarms converge to a specific destination, which results into packet losses and higher delays. In this paper, we propose a solution for congested links, called the PiRAT (Pivot Routing for Alarm Transmission) protocol. It is based on multi-path routing in order to add some diversity in routing the alarms. PiRAT uses intermediate nodes as pivots to reach the destination. Simulation results show that PiRAT has better performance than previous protocols in terms of packet loss, end-to-end delay, congestion and node overload.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.