Enhancing network coverage with energy optimization based on multi path routing and data transmission by clustering protocol

Abstract

The first priority in underground operations is safety. Wireless sensors have been employed by several large mineral countries through early warning in recent decades to reduce mishap and prevent major economic losses and casualties. Existing efforts use the Improved DV-Hop Localization Algorithm (IDVHLA) to do this. However, with the presence of malicious nodes, accurate anchor node detection is difficult, as there will be no precise sharing of anchor node position information. Faster communication in an emergency circumstance is a difficult task. For overcoming ssue, the proposed research effort introduces a method called MDVHMRP (Modified Distance Vector Hop based Multipath Routing Protocol). MDVPH method is utilize in this paper to determine anchor node position. This work introduces multi path routing to ensure ongoing communication as well as faster communication in event of a route path breakdown. Anchor node location information is anticipated utilizing modified distance vector hop approach, and the predicted information is communicated. Hyperbolic curve cryptography (HCC) is emerging cryptographic key generation technique for faster, smaller and efficient cryptography process. The major advantage of this technique is strength of key, those are highly critical to break and hacker not able to retrieve plain text. The proposed techniques incorporates various attributes for storing and retrieval of information in cloud. For designing any type of WSN with the main parameters like rate of convergence, hop count, lifetime of network, onsumption of energy, area for coverage in recent technology of wireless network. In past few years the optimization in these parameters has been done by clustering and routing algorithms in WSN. So this research deals with network coverage and energy optimization of the network. In large deployed network the transmission range is vital for data transmitting, area coverage of the cluster can be within the transmission range using Glowworm Swarm Optimization (GSO) based clustering