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A Review on Routing Protocols for Mobile Adhoc Networks
The aim of this research is to investigate the development and implications for applications and future directions of the Internet of Things (IoT). The current understanding of the Internet of Things is explored and discussed to understand, what is currently understood because IoT has been often considered a vague and relatively little understood concept. A range of users were asked to describe their understanding of the IoT and how they use IoT devices. A significant finding showed that although the term Internet of Things has been known for several years and is becoming increasingly more widespread. However, there are privacy concerns with regards to the large amounts of personal data, transferred between IoT devices.
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Mobile ad-hoc networks (MANET) are formed by a group of mobile nodes and does not have any fixed infrastructure. Due to the node mobility nature in MANETs, different routing challenges such as, power constraints, link failures, and path breakages occur. Many routing protocols both proactive and reactive have been implemented to solve the routing challenges, but these protocols cannot defeat these issues in a complete manner. Researchers made an attempt to research on swarm intelligence based nature inspired algorithms to defeat the routing problems faced by the mobile ad-hoc networks. In the existing approach, BAT optimization which is a swarm intelligence technique was used to find the best path for Ad-hoc On-demand Multipath Distance Vector (AOMDV) protocol based on link availability and neighbour node queuing delay. But, this approach does not maintain a balanced control packet overhead. So, in this paper Bee Inspired routing Protocol (BeeIP) is proposed to provide multipath routing for mobile ad-hoc networks. BeeIP is a swarm intelligence based routing technique, which uses the honey bee forager behavior. Simulation results show that, the proposed approach BeeIP outperforms the BAT-AOMDV in terms of network performance metrics such as, packet delivery ratio, control overhead, average end to end delay.
Mobile adhoc networks are a gathering of mobile nodes that communicate through a wireless channel without any unchanging infrastructure such as an access point or a mobile base station. In this network, every node transmits data from the forwarding packets to its neighboring nodes. Some nodes may not participate in forwarding the packets for the reduction in its resources. The presence of selfish behavior among the nodes may lead to network partition and makes a major harmful impact in the network operation. To avoid such conditions, selfish node inference is essential. To overcome this problem some techniques like, a credit based technique, reputation based technique, Record and Trust Based Detection techniques (RTBD) and so on, have been used. The proposed model provides security to the neighbor nodes by using pseudo random number generation using RSA algorithm, to avoid the neighboring node from being compromised by the selfish node. It significantly improves the performance metrics such as, packet delivery ratio, energy, and routing overhead.
Mobile Ad-hoc Network (MANET) is most often a cluster of wireless mobile nodes dynamically establishing a brief live network without the use of network infrastructure. MANET is associated with the rising space of analysis in the communication network world. The change in network topology due to node movement associated with the link failure and creation, source in radio resources and bandwidth, limited battery power and computing capability pose challenges in packet routing in MANET. Energy efficiency is the most important design consideration in MANETs, due to the limited battery life of mobile terminals. The network lifetime will improve suitability, reducing the requirement power of connections. A number of Routing protocols have been proposed in the recent scenario. There are many advantages and disadvantages in those algorithms. This paper is a survey of the new and improved energy based routing methods in Mobile Adhoc Networks.