
Location Aware Sensor Routing Protocol for Mobile Wireless Sensor Networks
Abstract
Location aware sensor routing protocol for mobile wireless sensor networks. Location-conscious sensor routing (LASeR) protocol is a novel solution to mobile wireless sensor network (MWSN) routing challenges. It addresses emerging applications ‘ high reliability and low latency requirements.The protocol uses location information even in highly mobile environments to maintain a gradient field while reducing overhead routing.
This allows a blind forwarding technique to be used by the protocol to propagatepackets to the sink. Inherently, the protocol uses multiple paths at the same time to create diversity of routes and increase their robustness.
LASeR is designed for use with autonomous land, sea or air vehicles in a wide range of MWSN applications. Analytical terms are derived from the simulations and evaluated against them.Compared to the recent MWSN proactive highly ambulatory sensor routing protocol, the high-performance cross-layer adaptive mobility routing protocol, as well as the ad-hoc on-demand distance vector and optimized link state routing.
Compared to the recent MWSN proactive highly ambulatory sensor routing protocol, the high-performance cross-layer adaptive mobility routing protocol, as well as the ad-hoc on-demand distance vector and optimized link state routing.
Conclusion
Location aware sensor routing protocol for mobile wireless sensor networks.In the Wireless Sensor Network, clustering is an important issue. The collection and routing of information is performed on the basis of the sensor node position.
It can be easily achieved by enabling GPS in any node. The sensor nodes that are aware of their own position information are deployed in the wireless sensor network.
By knowing the position of the whole sensor node in the WSN, the sensor nodesare clustered based on the energy, the shortest distance of the path.
Using modified k means clustering algorithm can minimize residual energy and maximize performance, the cluster head will be selected based on Centroid position clustering of nodes.