Greedy Knapsack Based Energy Efficient Routing in WMSNS
T Venkata Naga Jayudu1, M Rama Krishna Reddy2, C Shoba Bindu3

1T Venkata Naga Jayudu, Researcch Scholar, Department of Computer Science and Engineering, JNTUA, Anantapur, Andhra Pradesh, India
2M Rama Krishna Reddy, Electrical and Electronics Engineering Department, GOVT. Polytechnic, Narpala, Andhra Pradesh, India.
3C Shoba Bindu, Department of Computer Science and Engineering, JNTUA, Anantapur, Andhra Pradesh, India

Manuscript received on 02 July 2019 | Revised Manuscript received on 09 July 2019 | Manuscript published on 30 August 2019 | PP: 1455-1461| Volume-8 Issue-10, August 2019 | Retrieval Number: J10150881019/19©BEIESP | DOI: 10.35940/ijitee.A1015.0881019
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Abstract: Managing the energy is very challenging in wireless multimedia sensor networks because of heavy consumption of energy by the sensor nodes. Multimedia data transmission contains heavy energy consumption operations such as sensing, aggregating, compressing and transferring the data from one sensor node to neighbour sensor node. Many routing techniques considers residual energy of a neighbour node to forward the data to that node. But, in reality a critical situation occurs where required energy is greater than individual neighbour node’s residual energy. In this situation it is not possible to select any neighbour node as a data forwarder. The proposed greedy knapsack based energy efficient routing algorithm (GKEERA) can address this critical situation very efficiently. And also a Two-in-One Mobile Sink (TIOMS) is used to provide the power supply and to collect the data from a battery drained sensor node. GKEERA improves the life time of a network by balancing the energy consumption between the neighbour nodes.
Keywords: wireless multimedia sensor networks, neighbour nodes.
Scope of the Article: Wireless Sensor Networks