Optimizing Consumption of Energy in Multicast Model in -Constrained Mobile Wireless Networks
Yonas Melaku Waktola1, Kokeb Abera2

1Yonas Melaku Waktola, Department of Computer Science and Engineering, Jawaharlal Nehru Technological University, Hyderabad (Telangana), India.

2Kokeb Abera Workneh, Department of Computer Science and Engineering, Jawaharlal Nehru Technological University, Hyderabad (Telangana), India.

Manuscript received on 25 February 2020 | Revised Manuscript received on 05 March 2020 | Manuscript Published on 15 March 2020 | PP: 94-96 | Volume-9 Issue-4S2 March 2020 | Retrieval Number: D10190394S220/2020©BEIESP | DOI: 10.35940/ijitee.D1019.0394S220

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Abstract: This paper addresses the issue of saving energy consumption in a multicast model in mobile wireless networks with time limit, where source information must be sent to all destinations within an self imposed time limit. Many of the existing works focuses on getting transmission schemes with minimal energy transmission, bypassing the use of energy on the receiver side. Therefore, in this ConMap paper, a new and novel framework is proposed for an efficient design of the scheme employed in transmission that increases the efficiency of the transmission and reception energy together. Thus, the issue of designing a scheme of minimal energy transmission, DeMEM, will be given as one of combination in optimization and will show approximately ratio of polynomial time algorithm of DeMEM can not be better than (1/4 ) ln k. In order to give very efficient approximation schemes, the proposed model ConMap converts DeMEM into an equivalent oriented direct shaft issue by creating helpdesk of graphic devices to capture the use of energy, maps the calculated tree into a scheme of transmission I There are three advantages of ConMap: 1) General: ConMap shows a Clear application to a wide range of power models. 2) Flexibility:Any Steiner tree problem algorithm can be incorporated into our ConMap system to obtain spe cific guarantees and performance complexity. Efficiency: The ConMap model retains the approximation ratio of the built-in Steiner tree algorithm, which will only tolerate a minor overload. These three features are empirically validated and in contrast with an exact brute force algorithm, ConMap also provides near-optimal transmission schemes. In this paper, energy transmission and reception are jointly considered in the design of multicast transmission schemes.

Keywords: Multicast, Mobile Wireless Networks, ConMap.
Scope of the Article: Mobile & Broadband Wireless Internet