Novel Algorithm for Enhancing MANET Protocol in Smart Environment

Abstract

Future smart environment will consist of smart devices (objects) that will form an autonomous and distributed ad-hoc network near the user end. This network needs efficient, cooperative and effective protocols for the changing network. So it requires a flexible and unified framework for wireless intelligent devices communication that will permit secure and adaptive routing to fulfill ad-hoc networking requirements. It is important to propose effective protocols and to identify good architecture for the future internet. Active routing protocols update the table of information on a regular basis and keep the mobility factor in control. The result of routing optimization with an efficient and effective scheme to mobility control and energy consumption in MANET-IoT system shows the main solution of Smart Network. Combination of IoT and MANET routing mechanism enhances the lifetime of nodes in the overall smart environment. This combination helps in the provision of services and accessibility for a longer period of time over the future smart environment. This paper presents various securities and safety-related issues of MANET-IoT system, and also advocate the requirement of enhancing routing protocols in a smart environment. In this paper, a new algorithm has been developed to reduce the delay factor of MANET protocol in a smart environment and performance is evaluated between the existing and proposed approach on the active protocol.

Secure Routing Protocol to Mitigate Attacks by using Blockchain Technology in MANET

“…A huge number of nodes are used to calculate the delay. The number of connections and the length of pauses between the nodes (devices) will reduce latency [1]. Smart network nodes store information about nearby nodes and base their decisions on the outcomes.…”

“…MANET is a wireless network [1] without a central administration. MANET's simplicity makes it popular.…”

“…In a MANET, nodes communicate using radio frequency. MANET's open design is vulnerable [1]. The attacker may target the network while data or packets are transferred or by monitoring network activity.…”

Component-Based Software System using Computational Intelligence Technique for Reliability Prediction

“…The quality of software can be increased through many ways like testing each component at every phase of the software development life cycle (early removal of bugs), using various optimization techniques [31][32][33][34][35][36][37][38]. Nowadays, a reliable, more efficient, and fault-free software product is demanded in almost every field like routing protocols in the area of communication, big data analysis in the area of security of web, social networking sites, facial recognition and for working in a smart environment, etc [39][40][41][42][43][44][45][46][47][48][49]. But, my work focuses on making an early fault predicting reliability model based on component-based software using computational intelligence techniques.…”