12.07.2015 Views

Wireless Ad Hoc and Sensor Networks

Wireless Ad Hoc and Sensor Networks

Wireless Ad Hoc and Sensor Networks

SHOW MORE
SHOW LESS
  • No tags were found...

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Background on Networking 31reception at the source node, when nodes detect a transmission <strong>and</strong> cannotdecode it, they set their NAVs for the EIFS duration. The main purposeof the EIFS is to provide enough time for a transmitting user to receivethe ACK frame, so that the duration of EIFS is longer than that of an ACKtransmission. As per the st<strong>and</strong>ard IEEE 802.11, the EIFS is obtained usingthe SIFS, the DIFS, <strong>and</strong> the length of time to transmit an ACK frame atthe physical layer’s lowest m<strong>and</strong>atory rate, as in the following equationEIFS = SIFS + DIFS + [(8 × ACK size) + Preamble length + PLCP headerlength]/Bit rate, where ACK size is the length (in bytes) of an ACK frame,<strong>and</strong> Bit rate is the physical layer’s lowest m<strong>and</strong>atory rate. Preamble lengthis 144 b <strong>and</strong> PCLP header length is 48 b.1.4.6 Need for Power Sensitive Schemes <strong>and</strong> Protocols<strong>Wireless</strong> cellular, ad hoc, <strong>and</strong> sensor networks operate with limitedb<strong>and</strong>width <strong>and</strong> battery resources. Unlike computer networks, wirelessnetworks are b<strong>and</strong>width <strong>and</strong> interference limited. Interference due to theusers in the network decreases the network’s capacity. Hence, efficientways to combat interference to increase the capacity <strong>and</strong> spatial reuse ofthe network are of great importance. A solution to this problem is toefficiently control signals from r<strong>and</strong>omly distributed users in the network,which would increase the network capacity <strong>and</strong> battery lifetime. Therefore,centralized power control schemes (Dontula <strong>and</strong> Jagannathan 2004)were proposed in the case of cellular networks. A major disadvantage ofthese schemes is that they are computationally expensive, consuminglarge base station computation resources. On the other h<strong>and</strong>, DPCschemes are a more realistic approach for minimizing the interference.DPC schemes adjust the power levels of the users in the network just bysensing the local environment. These DPC schemes (Dontula <strong>and</strong> Jagannathan2004) are straightforward, consume minimal mobile userresources, <strong>and</strong> minimize the transmission of control packet information.In ad hoc wireless networks, where there is no centralized governingagent, a DPC scheme is a natural choice. Determining the power withwhich a mobile user in the network should transmit, by keeping theinterference in check, in a highly dynamic environment is a challengingproblem. In a military environment, where the networks are required tomaintain a low probability of intercept <strong>and</strong> a low probability of detection,as they operate in remote <strong>and</strong> unstructured environments, nodes need toradiate as little power as necessary <strong>and</strong> transmit as infrequently as possible,thus decreasing the probability of detection or interception. A lapsein any of these requirements may degrade the performance <strong>and</strong> dependabilityof the network.With the advent of ad hoc networks of geographically distributedsensors in remote site environments (e.g., sensors dropped from aircraft

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!