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In Table 12.6 we summarize the values of the parameters assumed in our simulations. We assume that the best effort and the VoIP signaling traf c are negligible. For the coverage radio there are two extreme cases to consider. First is the case when the relay radio does not carry any traf c, Ur = 0 and PH = max{Uc PH max , PH min }. The power consumed by the relay radio will be PSleep which is equal to 2 mW. The coverage radio consumption will depend on UCO which varies from 0 to . Since we neglect any signaling or best effort traf c by assuming UBE = 0, then Pc = (UCO ) PMax + (1 UCO ) PSleep . Therefore, Pc varies between 0.752 W (UCO = ) and 0.002 W (UCO = 0). PH varies between 1 and 0.02 W respectively. Thus the total power consumed by the node varies between 0.024W and 1.752W. In the second case, the relay radio is fully utilized, Pr = 0.75 W, PH = 1 W and Pc varies between 0.002W and 0.75W, therefore, the total power will vary between 1.752W and 2.5W. Figure 12.12 shows PTotal vs UCO for several different relay radio consumption scenarios varying from Ur = 0 to 100%. It can be seen that as the utilization of both

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Periodic metric updates triggered at the sink node are used to account for possible changes in the QoS on individual paths and the changes in energy resources Simulations show that SAR performs better than a minimum metric algorithm that lowers energy consumption without considering packet priorities Furthermore, failure recovery is handled by local handshakes between upstream and downstream neighbors in paths SAR algorithm addresses low-mobility networks, and routes are established at packet sources considering link costs and energy resources as a QoS parameter Packet priorities are taken into account to relay high-priority packets to popular paths in terms of latency However, the scheme requires resource-related topology information at packet sources that require frequent parameter updates by a common sink This incurs high overhead in WSNs with moderate or high mobility and in WSNs carrying high data rates 134.

Relay Radio 100% Relay Radio 75%

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2 Energy-Aware Routing in Mobile and Wireless Ad Hoc Networks [18] Before focusing on energy-aware routing protocols for WSNs, it is worth focusing on energy-saving routing protocol design for wireless ad hoc networks These solutions are also directly applicable to WSNs with limited number of nodes and where a number of potentially mobile, high-capability nodes need to communicate possibly.

Relay Radio 50% Relay Radio 25% Relay Radio 0%

over sensor nodes A good example of modifying existing routing protocols to be energy-aware has been presented in reference [18] In this paper, two reactive ad hoc routing protocols, namely DSR [19] and TORA [20], are modi ed to deliver QoS by introducing energy-awareness DSR and TORA protocols involve a route discovery phase initiated when a mobile source node needs to send data packets to the destination node but does not have an active and valid route to it Route discovery is performed using the control packets called route request packets (RREQ) The source node broadcasts RREQs and waits for a control packet called the route reply packet (RREP) Using the received RREP, the source node updates its routing table, which is used to keep track of active routes to individual destination nodes in the network.

radios increases, the power consumption also increases When the relay radio is fully utilized, the consumption varies between 1752-25 W with a slope of 075 and for the case when the relay radio does not carry any traf c, the consumption varies between 0024 to 1752 W with a slope of 173 When the relay radio is under-utilized, the power consumption depends more strongly on the utilization of the CO traf c, this is clear in the variation of the slope from 075 to 173, an increase of more than 23 times For example, when the relay radio utilization is 50% the power consumption increases rapidly with a slope of 17 up to UCO = 05 After that point, the slope of the power consumption curve decreases to 09 which is a reduction of almost 50%.

Summary

Intermediate nodes, which forward RREQ and RREP packets between source and destination nodes, also use RREP packets to update their routing tables Although these protocols are effective and robust, the broadcast of RREQ packets leads to unnecessary packet transmissions and inef cient use of limited energy resources In reference [18], two modi ed protocols, EDSR and ETORA, based on the existing DSR and TORA protocols, are introduced, respectively Both EDSR and ETORA involve an additional RREQ forwarding mechanism that does not exist in DSR and TORA In an intermediate node, this mechanism considers the current energy level of the node, the energy level of the previous sender node, and the distance to the source node when making routing decisions Distance estimation is accomplished using time stamps in RREQ packets When a node transmits an RREQ packet, it records the time of transmission in the RREQ.

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