Abstract

In wireless sensor networks (WSNs), energy constraint of node is the major issue, as the sensor may be deployed in the area where energy backup or quick replacements may not be available. In such cases, preserving the node energy and prolonging the network life time play crucial role in wireless sensor networks. Similarly, sensor nodes are highly vulnerable to attacks, attackers can easily tamper the sensor node and compromise it. Thus to overcome above stated two problems, the proposed work ensures shortest path routing, which ensures network life time of sensor nodes and the trust based routing, which avoids node compromise attacks. The proposed shortest path routing algorithms takes route through multi-hop nodes to corresponding sink. The shortest path based on the geographical routing strategy chooses the nodes nearest to the routing node and sink node. The novel routing framework proposed in this work considered shortest path with trust based routes. The node's energy is considered to taking reliable node on the routing path, which ensure the packet delivery and avoids any node failure due to less energy. The node's trust value is evaluated with three type, which ensure that the paths created are more reliable

Highlights

  • Wireless sensor networks (WSNs) are made with huge number of small hardware namely sensor, which collects information from environment such temperature, humidity, moisture, obstacle detection for even more purposes

  • Wireless sensor networks are deployed in many real world applications and the emerging Internet of Thing (IoT) combining sensor nodes to cloud storage are used for smart cities, traffic monitoring and many more

  • The hierarchy of wireless sensor network is constructed in this implementation with Base station node, cluster head as Sink node and sensor nodes

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Summary

Introduction

Wireless sensor networks (WSNs) are made with huge number of small hardware namely sensor, which collects information from environment such temperature, humidity, moisture, obstacle detection for even more purposes. Sensor nodes has limited power, resources like energy backups, computational capacity and storage capacity. Wireless sensor networks are deployed in many real world applications and the emerging Internet of Thing (IoT) combining sensor nodes to cloud storage are used for smart cities, traffic monitoring and many more. Whereas the applications like animal monitoring in forest, military activity surveillance, tracking, forest fire detection, and in many operational industries. The collected data from the above applications are aggregated and sent to sink node, though multi-hop routing strategies. Most of IoT applications send the information via internet to the storage servers

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