Fire Detection Systems are now widely used in various safety and security applications. The major amount of fire starts due to the electric short circuit. It leads to damage to property and also loss of life. To avoid that or to minimize the damage caused by fire outbreaks due to electric short circuits an IoT technology is used to control such a kind of risk. Traditional fire detection systems are not that effective and quick to alert the owner about fire, in case no one is present on the location. To overcome this problem in this paper we present the design and development of IoT based Fire Detection System. A system that combines qualities for fire, temperature and smoke detection, sending alert Text Message about the fire to the user along with onsite alarm(buzzer), updating temperature, humidity and smoke on ThingSpeak cloud every 15 seconds, and it also moves manually with the help of Android Application. The Fire Detection System consists of four main parts: Multiple sensors, communication system (Bluetooth, GSM, NodeMCU), motion planning (Manual patrolling), and Android application for manual patrolling of the system. This Fire Detection system can be used in college, school, office, and industry for safety purposes.

No abstract

In this paper, we propose a new non-intrusive bandwidth estimation technique for IEEE 802.11 in ad hoc networks using cross layer design. This technique is based on RTS/CTS mechanism and it doesn't generate addition traffic to perform the bandwidth estimation. Initially, it estimates the available bandwidth per node and then evaluates the link's available bandwidth in IEEE 802.11 which plays a vital role in admission control.This technique ensures available bandwidth at MAC layer and it is cross layered to routing layer to set up required link. Routing features discovers QoS routes with enough available bandwidth by QoS routing algorithm at the network layer.Finally, we focus on performance analysis of node based available bandwidth cross layer routing protocol (NBA) and Ad-hoc On Demand Distance Vector Routing (AODV) in adhoc networks. In which, the simulation results show that cross layer routing protocol NBA achieves good throughput and packet delivery ratio and reduces the delay and overhead, compared to AODV.

With the increasing number of wireless communication devices, there may be a shortage of non-licensed spectrum, and at the same time, licensed spectrum may be underutilized by the primary users. The utilization of licensed spectrum can be improved using cognitive radio techniques. The proposed work allows secondary users to use the correct slot period of the channel as per their need. Particle swarm optimization technique is used to optimize the resource allocation. The aim of the proposed work is to determine the optimal throughput and power of available channels between the communicating nodes and improve the routing performance by selecting the best channel. Mathematical equation is derived that represents the channel selection relationship from the Q-value, congestion throughput, and benefit value. Network simulator-2 is used to simulate the proposed work and compared with the existing work. From the simulation results, it is observed that routing performance is improved in terms of throughput, packet delivery ratio, delay, packet dropped, and normalized routing overhead.

No abstract