The integration of the Internet of Things (IoT) in our lives has become reality during the last decade. Mostly, IoT is considered a system of systems, where sensors make a big chunk of any IoT communication system. Similarly, in this paper, we introduce a notion of the Internet of Underwater Things (IoUT), where we consider a set of sensors deployed in the deep sea to form a communication network for any possible application such as military, environmental, pollution surveillance, etc. Since it is too optimistic to recharge or replace sensor batteries in an underwater environment, efficient management of the available resources can extend the overall network lifetime. To do so, nodes clustering is a potential solution, however, exchange of multiple packets for cluster head selection requires a considerable amount of energy. In this work, we present an Autonomous Unmanned Vehicles (AUVs) assisted Energy-efficient Clustering (AEC) mechanism that introduces wake-up sleep cycle for the underwater nodes. AUV onus includes cluster creation, the cluster head nomination, and creation of a wakeup sleep schedule that relieves the additional burden from energy limited underwater sensor nodes. Due to no additional packets been exchanged, our protocol outperforms traditional clustering schemes and we validate this through simulations.

The Internet of Engineering Task (IETF) developed a lighter application protocol (Constrained Application Protocol (CoAP)) for the constrained IoT devices operating in lossy environments. Based on UDP, CoAP is a lightweight and efficient protocol compared to other IoT protocols such as HTTP, MQTT, etc. CoAP also provides reliable communication among nodes in wireless sensor networks in addition to features such as resource observation, resource discovery, congestion control, etc. These capabilities of CoAP have enabled the implementation of CoAP in various domains ranging from home automation to health management systems. The use of CoAP has highlighted its shortcomings over the time. To overcome shortcomings of CoAP, numerous enhancements have been made in basic CoAP architecture. This survey highlights the shortcomings of basic CoAP architecture and enhancements made in it throughout the time. Furthermore, existing challenges and issue in the current CoAP architecture are also discussed. Finally, some applications with CoAP implementation are mentioned in order to realize the viability of CoAP in real world use cases.

Modern traffic control systems include smart feedback into the traffic light control system. New ways of improving our transit systems fuel efficiency are now more than welcome due to global warming and oil high price. This paper presents a new approach on how drivers and traffic lights can interact to save fuel. Our preliminary results show that 25% savings are within range in urban circuits