scholarly journals Number of Node Estimation in Mobile Ad Hoc Networks

2017 ◽  
Vol 11 (6) ◽  
pp. 65
Author(s):  
Saher Manaseer ◽  
Ibrahem Alhabash
Keyword(s):  
Ad Hoc Networks ◽  
Mobile Ad Hoc Networks ◽  
Routing Protocols ◽  
Ad Hoc ◽  
Network Size ◽  
Centralized Control ◽  
Hop Count ◽  
Mobile Ad Hoc ◽  
Hoc Networks

<p class="0keywords">Mobile Ad hoc networks do not have any form of centralized control as per their definition. Therefore, many challenges face the development of efficient protocols for such networks. One of the main challenges is the difficulty of extracting the total number of nodes in the network, this paper aims to find an estimate for this number using the average hop count for messages exchanged in the network. Experiments of this paper are conducted on Ad Hoc networks under DSR and AODV routing protocols. Results show a relation between network size and average hop count that can be used to predict the number of nodes in the network.<strong></strong></p>

Analyzing Performance of Ad hoc Routing Protocols under Various Constraints

2012 ◽  
pp. 152-166
Author(s):  
Lalitsen Sharma ◽  
Supriya Gupta
Keyword(s):  
Ad Hoc Networks ◽  
Mobile Ad Hoc Networks ◽  
Routing Protocols ◽  
Ad Hoc ◽  
Centralized Control ◽  
Ad Hoc Routing ◽  
Dynamic Source ◽  
Network Topologies ◽  
Mobile Ad Hoc ◽  
Hoc Networks

The mobility of nodes in mobile ad hoc networks and absence of any centralized control cause unpredictable changes in the network topologies. This makes routing a challenging task. Several routing protocols for mobile ad-hoc networks have come into existence. The protocols are classified in mainly in three categories: proactive, reactive, and hybrid. In this chapter, a study of one of each of the proactive and reactive protocols (respectively, Destination Sequence Distance Vector routing [DSDV], and Dynamic Source Routing [DSR]) is presented. The performance of above said protocols has been measured under varying mobility environment using NS-2 simulator based upon three quality metrics: average end-to-end delay, throughput, and jitter.

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