LAUSR

Balancing energy consumption to prolong the life of a dispensed computing network is a challenging issue for researchers. In multi-hop transmission, most of the sensor node energy is depleted for the data transmission from the sensor node to the sink and receiving data from other sensor nodes. The energy consumption in the wireless sensor networks (WSN) is directly proportional to the square of the distance between source and destination. While receiving the data, energy consumption is fixed but can play a considerable role. By reducing or minimizing the transmission distance and utilizing the optimal distribution of nodes can control the energy consumption rate between one node to another. This approach leads to performance improvement in the dispensed computing networks. Chain-based routing is a novel idea where each sensor node receives data from one sensor node and transmits it to the nearest neighbor node in the same chain. This strategy results in the formation of a single chain of all nodes and balances the energy consumption. In this paper, a hybrid energy-efficient scheme combining the chain and tree-based routings has been proposed. The proposed Catenarian-Trim Medley (CTM) routing scheme has been investigated to optimize the transmission distance and energy consumption balancing for the dispensed computing networks.