SUMMARYIn this paper, we propose a novel swarm-inspired system for detecting wildfires using sensor networks. There are three-fold concerns of this paper. The first is the speed of information propagation, the second is the accuracy of the information being propagated and the third is the reliability of the system over a long period of time. With these in mind, we develop a probabilistic model for focusing on responses for query requests in an accurate manner, similar to the assignment of probabilities of occurrence in a distributed database. We follow a data-centric approach where the system executes a swarm-inspired routing and aggregation algorithm. For effective management of the system, zones of reachability are formed which denote areas, which help the sensor nodes in local maintenance, and through an interaction of these zones, a globally robust system is obtained. The system generates various kinds of reports and is connected to disaster response stations. We simulate our proposed system in NS-2 for certain parameters, and more importantly in the presence of failures, to conclude that the system performs well for different scenarios and very well when an optimal zone radius is chosen.

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We present Fuzzy Group-Based Routing Algorithm (FGRA), a secure, energy-efficient scheme for routing in sensor networks. In this scheme, we consider the formation of multipaths for routing. Using fuzzy logic for generating decisions of forwarding or withholding packets, we show that our scheme is robust, efficient and scalable for a large number of nodes. In our scheme, routing takes place with the help of groups of nodes, which includes situations when the nodes are disconnected. We incorporate security in the design of our routing algorithm by using a mobile-agents-based approach. Our scheme is data-centric where named data packets are considered as the focal point of the system, and in this way it can be adapted for any application. We perform some simulations in NS2, and demonstrate that our scheme shows good performance results with scope for additional research.

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