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Ant colony based coverage optimization in wireless sensor networks

Khoshrangbaf Mina, Akram Vahid Khalilpour, Challenger Moharram

Annals of Computer Science and Information Systems

2022

Vol. 32

155--159

Maximizing the covered area of wireless sensor networks while keeping the connectivity between the nodes is one of the challenging tasks in wireless sensor networks deployments. In this paper we propose an ant colony-based method for the problem of sensor nodes deployment to maximize the coverage area. We model sensor locations as a graph and use an adapted ant colony optimization-based method to find the best places for each sensor node. To keep the connectivity of the sensor network, every sensor must be covered by the other sensors; this is a hard constraint that is applied to the cost function as a penalty. The proposed algorithm is evaluated with different number of sensor nodes and sensing ranges. The simulation results showed that increasing the number of iterations in the algorithm generates better coverage ratio with the same number of nodes.

Empirical Approach in Topology Control of Sensor Networks for Urban Environment

Musznicki Bartosz

Journal of Telecommunications and Information Technology

2019

nr 1

47--57

Research into the topology control of Wireless Sensor Networks (WSNs) is geared towards modeling and analysis of methods that may be potentially harnessed to optimize the structure of connections. However, in practice, the ideas and concepts provided by researchers have actually been rarely used by network designers, while sensor systems that have already been deployed and are under continued development in urban environments frequently diﬀer from the patterns and research models available. Moreover, easy access to diversiﬁed wireless technologies enabling new solutions to be empirically developed and popularized has also been conducive to strengthening this particular trend.