Advances in Wireless Communications and Networks 2018; 4(1): 1-4 http://www.sciencepublishinggroup.com/j/awcn doi: 10.11648/j.awcn.20180401.11 ISSN: 2575-5951 (Print); ISSN: 2575-596X (Online) Mobile Application for Emergency Navigation During Disaster Using Wireless Sensor Network Rahul Krishnan, Kannan G., Mathibala G. Department of Electronics and Communication Engineering, Rajalakshmi Institute of Technology, Chennai, India Email address: To cite this article: Rahul Krishnan, Kannan G., Mathibala G. Mobile Application for Emergency Navigation During Disaster Using Wireless Sensor Network. Advances in Wireless Communications and Networks. Vol. 4, No. 1, 2018, pp. 1-4. doi: 10.11648/j.awcn.20180401.11 Received: May 2, 2018; Accepted: May 30, 2018; Published: June 19, 2018 Abstract: This Wireless Sensor Network (WSN) is gathering sensor hubs. A huge number of sensor hubs associated with each frame sensor arrange. Sensor hubs ordinarily comprise of radio handset, microcontroller and it is fueled with battery. In this Mobile Environment, the clients are furnished with Personal Digital Assistants (PDA) or advanced cells that can converse with the Sensors effectively. At the point when crisis happens, the WSN gives essential data to clients, So that guided to move out of an unsafe zone through connection with sensors. Remote system sensor joined with a route calculation could encourage securely control individuals to a building exit while helping them evade perilous range. We propose a plain route calculation for crisis circumstance. Clog Adaptive and little extend crisis Navigation calculation with WSNs (CANS) use level set strategy to track the development of the exit and the limit of the perilous territory, so that individuals close-by the risky region accomplish a gentle blockage at the cost of a slight reroute, while individuals inaccessible from the threat evade superfluous alternate routes. Firstly, the route of people looks for a safe-basic way, other than parcel misfortune or vitality productivity which is the primary need as in bundle directing. Besides, human route expends a great deal additional time than customary parcel directing procedure, because of the constrained development speed of individuals. Also, which are basic for a quick clearing, as they primarily concentrate on finding the briefest/most secure way for every individual, while other problematic (yet sheltered) ways are left unused all through a large portion of the departure procedure. Keywords: Wireless Sensor Network, Personal Digital Assistant, Emergency Navigation, Throughput 1. Introduction In wireless sensor networks, numerous reasonable and little sensor-rich gadgets are sent to screen and control our condition [2]. Every gadget, called a sensor hub, is equipped for detecting, calculation, and correspondence. Sensor hubs shape a remote specially appointed system for correspondence. The restricted supply of force and different limitations, for example, fabricating expenses and constrained bundle sizes, confine the abilities of every sensor hub. For instance, a common sensor hub has short correspondence and detecting ranges, a restricted measure of memory, and constrained computational power. Notwithstanding, the bounteous number of spatially spread sensors will empower us to screen changes in our condition precisely regardless of the incorrectness of every sensor hub. One of the Major utilizations of Wireless Sensor Network (WSNs) is the route benefit for crisis clearing. It is generally utilized as a part of different spaces, for example, military application, industrials and condition. Crisis responders require area and route bolster however couple of business research area frameworks are plan in view of them. The route application was connection amongst sensor and client. In this paper introduced on CANS is the primary WSN helped crisis route calculation accomplishing both gentle clog and little extend, where all operations are in-situ done by digital physical cooperation among individuals and sensor hubs. Jars use level set technique to track the development of the exit and the limit of the perilous zone, so that individuals close- by the dangerous territory accomplish a gentle blockage at the cost of a slight reroute, while individuals inaccessible from the threat maintain a strategic distance from pointless alternate routes. Jars do not require area data, and CANS Algorithm contain level arrangement of techniques. The main strategy to Establishing the Potential guide, second technique to Building the Hazard level guide