Title
Maximizing The Effective Lifetime Of Mobile Ad Hoc Networks
Abstract
This paper presents a new routing approach to extend the effective lifetime of mobile ad hoc networks (MANET) considering both residual battery energy of the participating nodes and routing cost. As the nodes in ad hoc networks are limited in power, a power failure Occurs if a node has insufficient remaining energy to send. receive or forward a massage. So, it is important to minimize the energy expenditure as well as to balance the remaining battery power among the nodes. Cost effective routing algorithms attempt to minimize the total power needed to transmit a packet which causes a large number of nodes to loose energy quickly and die. Oil the other hand. lifetime prediction based routing algorithms try to balance the remaining enemies among the nodes in the networks and ignore tire transmission cost. These approaches extend the lifetime of first few individual nodes. But Lis nodes spend more energy for packet transfer, power failures occurs within short interval resulting more number of total dead node earlier. This reduces the effective lifetime of the network. its at this stage Successful communication is not possible due to the lack of forwarding node. The proposed method keeps the transmission power in modest range and at the same time tries to reduce the variance of the residual energy of the nodes more effectively to obtain the highest useful lifetime of the networks in the long run. Nonetheless, movement of nodes frequently creates network topology changes via link breaks and link creation and thus effects oil the stability of the network. So, the pattern of the node movement is also incorporated in our route selection procedure.
Year
DOI
Venue
2008
10.1093/ietcom/e91-b.9.2818
IEICE TRANSACTIONS ON COMMUNICATIONS
Keywords
DocType
Volume
routing protocol, MANET, energy balanced, cost efficiency, lifetime prediction
Journal
E91B
Issue
ISSN
Citations 
9
0916-8516
1
PageRank 
References 
Authors
0.36
0
3
Name
Order
Citations
PageRank
M. Julius Hossain1739.50
M. Ali Akber Dewan2799.53
Oksam Chae361646.52