Abstract
The most emerging prominent sensor network applications collect data from sensor nodes and monitors periodically. Resource constraint Sensor motes sense the environment and transit data to the remote sink via multiple hops. Minimum energy dissipation and secure data transmission are crucial to such applications. This paper delivers an energy efficient, lifetime improving, secure periodic Data Gathering scheme that is a hybrid of heuristic path establishment and secure data transmission. This protocol uses artificial intelligence (AI) based A* heuristic search algorithm to establish energy efficient admissible optimal path to sink in terms of high residual energy, minimum hop counts and high link quality. This scheme also adopts block encryption Rivest Cipher (RC6) Algorithm to secure the transmission of packets. This code and speed optimized block encryption provides confidentiality against critical data and consumes less energy for encryption. This proposed method increases the network lifetime there by reducing the total traffic load. Evaluation of performance analysis of this algorithm using Network Simulator (NS2) shows the superiority of the proposed scheme.
Highlights
Self-organizing Sensor networks dynamically changes the network topology and distributed either randomly or uniformly
The energy usage for data encryption and transmission over the optimal path is very low when compared with MST and LRR baseline protocols
After selection of random sources, it triggers the A* heuristic for optimal path construction and RC6 for encryption and the encrypted data transmission over that energy efficient optimal path to source to sink is mentioned as blocked square boxes
Summary
Self-organizing Sensor networks dynamically changes the network topology and distributed either randomly or uniformly. A huge amount of tiny sensor nodes (SNs) monitor temperature, humidity, motions and sound. In multi-hop transmission of WSN each sensor nodes play dual characteristic of perceiving the environment and forwards the collected data to the base station (BS) via integrated radio transmitters. The key challenge is to prolong the lifetime of WSN since it is not possible to recharge the batteries of SNs in unattended environment. Considering every node in the network for a time periodic data collection generates more traffic. The period for data collection is to be enough for collecting data from nodes. To avoid traffic congestion and packet drop over transmission only random nodes to be selected for data collection in every miniature period. Energy efficient mechanisms are required for computation operations like data storage, path construction and decision making of source nodes and to secure the communication from sources to sink
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