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In Structural Health Monitoring (SHM)-informed Intelligent Transportation Systems (ITS) system, SHM sensors can provide data on a bridge health condition for ITS applications. Where ITS uses this bridge health condition information for real-time traffic management and monitoring. Most of the SHM-informed ITS use wireless sensor network (WSN) to allow devices to coordinate and collaborate to effectively measure a structure, whether the goal is to improve spatial resolution, structural resilience, bridge traffic, or perform advanced in-situ analysis. The WSN suffers from high power consumption, yet they are generally equipped with a limited power supply and in most cases AAA batteries. Even under the most stringent power management, the sensor nodes have an unattended life of approximately a few months to a year. Towards this end, the paper proposes a multi-agent based system to augment the life time of WSN supporting SHM-informed ITS systems. The proposed agent based routing (ABR) approach consists of a mobile agent (MA) that is able to traverse the network, i.e., sensor nodes, mounted onto a bridge using multi-hop communication; collecting and aggregate the data, thus eliminating the two major causes of power consumption. These include (a) the direct transmission/broadcast from each sensor node to the sink and (b) redundant sensory data. In addition, ABR reduce much of the communication overhead and hence prolong the operational lifetime of SHM-informed ITS. Our experiment conducted on an open source simulator shows that the proposed ABR is 30% more energy efficient in comparison to the baseline, i.e., direct transmission (DT) to the sink. [ABSTRACT FROM AUTHOR]

Water is a limited resource and essential for agriculture, industry and creatures existence on earth including human beings. Water quality monitoring is essential to control physical, chemical and biological characteristics of water. In addition, water quality monitoring can help with water pollution detection and discharge of toxic chemicals and contamination in water. A large number of inexpensive sensor nodes using hierarchical communication structure can be deployed to cover a large monitoring area with enough density. The paper provides a hierarchical routing protocol to reduce the communication overhead and increase the life time of wireless sensor network (WSN) suitable for river/lake water quality monitoring. The proposed routing protocol is compared with its predecessor LEACH. Experiments conducted using our custom simulator shows that the proposed routing protocol, power by genetic algorithm, create an energy balance in the network, save the node energy and thus increase the lifetime of the network by 25% in comparison to LEACH. [ABSTRACT FROM AUTHOR]

The paper by N. Jabeur et al. is entitled "Enabling Cyber Physical Systems with Wireless Sensor Networking Technologies, Multiagent Paradigm, and Natural Ecosystems." The paper by E.-S. M. El-Alfy and F. Al-Obeidat is entitled "Detecting Cyber-Attacks on Wireless Mobile Networks Using Multicriterion Fuzzy Classifier with Genetic Attribute Selection." This special issue is mostly based on the best papers from the 5th International Conference on Future Networks and Communications (FNC-2014), which was held in Niagara Falls, Ontario, Canada, on August 17-20, 2014. [Extracted from the article]