A warehouse is a mercantile architecture for entrepot of stuff. Warehouses are used by producers, dealers, traders, wholesalers, distributors, customs, etc. The use of a smart WMS is the cherry on top of all of your smart technology. This warehouse should be screened at regular intervals to reduce storage cost of food grains due to atmospheric conditions and are documented. With the enlargement of business and the continuous requirements of the food product multiplicity, oldstyle granary management prototype will not meet that, due to its heavy capacity and low proficiency. To mitigate the manual labour work and to make the work easier, a smart warehouse is implemented which is enabled with several sensors and technologies. This paper intends to develop an IoT based smart warehouse monitoring system. The network of sensors includes vibration, humidity, temperature, fire sensors. It is done with the help of current technology (IoT). Raspberry pi controller adopts IoT technology to convey the messages. Based on the sensor’s data the appropriate data is captured and manipulated based on the limit given in the software and send timely information to the concern department officials of Central warehouse corporation through SMS for moderation and corrective actions arising due to atmospheric conditions inside the warehouse. The system developed has great advantages compared with the traditional model in terms of cloud storage of the warehouse data.

In WBAN, energy efficiency is a major concern. The sensor nodes attached to the human body are battery-powered devices with a finite lifespan. These sensor nodes assist in gathering biological data from the human body and transmitting it to a control device. In WBAN, the MAC protocol is critical in evaluating a protocol's energy efficiency. Traditional MAC protocols aim to boost throughput and bandwidth efficiency. The most critical aspect is that they lack in energy conserving mechanism. By employing correct control techniques that aid in the efficient use of energy resources, the useful network life time can be extended. Several MAC protocols for WBAN have been devised to reduce energy consumption, and packet collision, idle listening, overhearing, and control packet overhead are the main causes of energy waste in wireless networks. Idle listening, packet overhead, overhearing, and collision rate are all addressed by the energy-saving technique. In WBAN, we introduced a novel energy-efficient MAC protocol called Scheduled Access MAC (SAMAC) to extend the network life time without sacrificing QoS. Using the Castalia simulator, we analyze and compare the performance of our proposed SAMAC to that of the Baseline MAC (IEEE 802.15.6) and ZigBee MAC (IEEE 802.15.4) in terms of energy consumption, packet delivery ratio, and endto-end delay. In terms of both energy conversion and WBAN Quality of Service, our simulation results suggest that our proposed SAMAC is more efficient than Baseline MAC and ZigBee MAC.

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