Energy Efficient Multicast Routing in Mobile Ad Hoc Networks: Contemporary Affirmation of Benchmarking Models in Recent Literature

The Mobile Ad hoc Networks playing critical role in network aided communication requirements The features such as ad hoc and open architecture based connectivity and node mobility are elevating the mobile ad hoc networks as much as feasible to deploy and use The direct communication between any of two nodes in this network is possible if target node is in the range of source node If not the indirect communication took place which is usually referred as multi hop routing The multi hop routing occurs as either a unicast model one source node to one destination node multicast model one source node to multiple destination nodes or multiple casting manifold unicast routing In these routing strategies provision of service quality in multi hop routing is a challenging task The optimal quality of service in routing magnifies the delivery ratio transmission rate network life span and other expected characteristics of the ad hoc routing Among the quality service provision factors minimal energy conservation is prime factor which is since the nodes involved in routing are self-energized and if discharged early then the route will be destructed that causes discontinued routing The energy consumption is more specific in multicast routing hence it is grabbing the more attention of the current research contribution

Socially and biologically inspired computing for self-organizing communications networks

The design and development of future communications networks call for a careful examination of biological and social systems. New technological developments like self-driving cars, wireless sensor networks, drones swarm, Internet of Things, Big Data, and Blockchain are promoting an integration process that will bring together all those technologies in a large-scale heterogeneous network. Most of the challenges related to these new developments cannot be faced using traditional approaches, and require to explore novel paradigms for building computational mechanisms that allow us to deal with the emergent complexity of these new applications. In this article, we show that it is possible to use biologically and socially inspired computing for designing and implementing self-organizing communication systems. We argue that an abstract analysis of biological and social phenomena can be made to develop computational models that provide a suitable conceptual framework for building new networking technologies: biologically inspired computing for achieving efficient and scalable networking under uncertain environments; socially inspired computing for increasing the capacity of a system for solving problems through collective actions. We aim to enhance the state-of-the-art of these approaches and encourage other researchers to use these models in their future work