Affiliation:
1. Iran University of Medical Sciences
2. Shahid Sadoughi University of Medical Sciences and Health Services
Abstract
Abstract
Wireless sensor networks (WSNs) built for multiple purposes consist of a number of sensor nodes and base station (BS). In designing these networks, hierarchical cluster routing protocol is used as a common solution for the challenge of energy consumption and longer network lifetime. The strategy of proposed method (FBCR) is basead on zoning and a fuzzy-based cluster routing protocol. In this method, some of the nodes are selected as cluster heads (CHs) that are responsible for sending data to the BS. For fuzzy input in CH selection, the criteria were used, including “residual energy of the node”, “node distance to the center of each region”, and “node angle to the BS”. Fuzzy logic was used as an algorithm for modeling decision-making and human experiences, to maintain energy balance and better CH selection. In FBCR, with the aim of reducing network energy consumption, the responsibility of selecting CHs in each region, determining the region of nodes, calculating distance from each node to the center, and calculating angle of nodes were assigned to the BS. FBCR is improved in terms of network lifetime, stability Period, selection and number of CHs, and the mean residual energy compared to Farahzadi, LEACH and MSCR methods.
Publisher
Research Square Platform LLC
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