scholarly journals Low Power Consumption Mobile Ad Hoc Network System

Author(s):  
Hiroshi Ishii

In order to solve the environmental crisis problem and to realize the sustainable environment, we need the efforts to reduce energy consumption. It is reported that the energy consumption by IT including communication will rapidly grow. Based on this situation, Japan Science and Technology Agency (JST) has begun the project of “Ultra low power consumption information technology” under the umbrella of the competitive research fund named “Core Research for Evolutional Science and Technology (CREST)”. We have applied to the open call for proposal and our proposal “Ultra low power Data Driven Networking System (ULPDDNS)” has been accepted as one of 2007-2012 frame projects by JST CREST. Our objective is to develop a data-driven networking system that can achieve reduction of power consumption to 1/100-1/1000 compared with the existing systems, especially in the situation just after a disaster happened. We believe the most applicable network to disaster situation is Mobile Ad hoc NETwork (MANET). This paper introduces the ULPDDNS research activities mainly from the viewpoint of network, i.e., MANET and shows three techniques to establish highly efficient and energy saving MANETswith reasonable performance: (1) GPS-aided target information discovery, (2) Load-aware broadcast-type contents delivery, and (3) Trust relationship list based key management.

2018 ◽  
Vol 7 (2) ◽  
pp. 674
Author(s):  
Rakesh Sahu ◽  
Narendra Chaudhari

Energy consumption of nodes during the transmission is an important factor for the efficiency and lifetime of a mobile ad hoc network. The reduction in consumption of energy can be achieved, only when its consumption at each step is known. The purpose of this paper is to formulate the mathematical model of energy consumption of network on the basis on links and available nodes in order to formulate the energy optimization function. The probability of link failure in route and innetwork have been taken into consideration as constraints while formulating the objective function of estimated energy consumption, as the low connectivity is one of the challenges due to mobility in ad hoc network.


Mobile Ad hoc Network is a decentralized network which can be deployed instantly. Routing is a very challenging task in this network due to dynamic movement of mobile nodes. Various routing protocols such as OLSR, DYMO and ZRP are proposed to establish the route for the data packets in MANET’s. As deploying of the protocols into real environment is a cost expensive process, the protocols are initially evaluated through a simulated arena. Many of the mobile devices are battery equipped and each protocol consumes energy in different manner. In this paper, energy consumption evaluation is carried out on OLSR, DYMO and ZRP protocols in a grid environment. The experiments have shown that DYMO protocol has less energy consumption when compared to OLSR and ZRP protocols.


2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Mustafa Tareq ◽  
Raed Alsaqour ◽  
Maha Abdelhaq ◽  
Mueen Uddin

A mobile ad hoc network (MANET) is a collection of mobile nodes that dynamically form a temporary network without using any existing network infrastructure. MANET selects a path with minimal number of intermediate nodes to reach the destination node. As the distance between each node increases, the quantity of transmission power increases. The power level of nodes affects the simplicity with which a route is constituted between a couple of nodes. This study utilizes the swarm intelligence technique through the artificial bee colony (ABC) algorithm to optimize the energy consumption in a dynamic source routing (DSR) protocol in MANET. The proposed algorithm is called bee DSR (BEEDSR). The ABC algorithm is used to identify the optimal path from the source to the destination to overcome energy problems. The performance of the BEEDSR algorithm is compared with DSR and bee-inspired protocols (BeeIP). The comparison was conducted based on average energy consumption, average throughput, average end-to-end delay, routing overhead, and packet delivery ratio performance metrics, varying the node speed and packet size. The BEEDSR algorithm is superior in performance than other protocols in terms of energy conservation and delay degradation relating to node speed and packet size.


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