Research Cell: An International Journal of Engineering Sciences

Dilpreet Kaur Dhillon ¹, Raminder Singh Uppal ¹

Affiliations
1 Department of Electronics and Communication, BBSB Engg. College, Fatehgarh Sahib, IN

Abstract

The Internet of Things, or IoT, is emerging as the next technology mega-trend, with repercussions across the business spectrum. Internet of Things (IoT), which will create a huge network of billions or trillions of "Things" communicating with one another, are facing many technical and application challenges. IoT is triggering a careful thinking on the role and modes of providing care to people in order to ensure a decent quality of life, without imposing traumatic changes of habits and domestic environment. RF identification (RFID) technology is now mature to provide part of the IoT physical layer for the personal healthcare in smart environments through low-cost, energy-autonomous, and disposable sensors. Wireless Sensor Network (WSN) and smart mobile technologies are also leading this evolutionary trend. In the wake of this tendency, this paper proposes a novel, IoT aware, smart architecture for automatic monitoring and tracking of patients, personnel, and biomedical devices within hospitals and nursing institutes.

Keywords

Internet of Things (IoT), Social Internet of Things (SIoT), Social Networks (SNs), RF Identification (RFID) Technology, Wireless Sensor Network (WSN).

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Raminder Singh Uppal ¹, Karamjot Kaur ²

Affiliations
1 Department of ECE, BBSBEC, Fatehgarh Sahib, IN
2 Department of ECE, Fatehgarh Sahib, IN

Abstract

Wireless Sensor network (WSN) is being widely used in various application but limited energy of remotely deployed sensor nodes remains area of concern. This concern had made energy efficient routing as a key parameter of WSN and various approaches had been used. In my earlier work of an Adaptive Energy Saving and Reliable Routing Protocol(AESRRP) combined link weights is determined based on the parameters node's residual energy and transmission parameters. Best Route selections were made based on link weight cost (crisp). In this paper fuzzy logic approach is used to calculate link cost between two adjacent nodes. Three parameters residual energy of sensor nodes, distance of cluster head to sink and density of nodes in a cluster are considered.

Keywords

Wireless Sensor Networks, Cluster Head, Routing, Fuzzy Logic, Path Cost.

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