Wireless Ad Hoc and Sensor Networks

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Optimized Energy and Delay-Based Routing 391CH A4856CH B56CH A4856CH B5CH C7ABC1237(d)465 BS98FIGURE 8.20 (d)(d) In this case, CH B sends its information about node 5 and node 6 to CH C. CH C checksif it is in range with these nodes. Because CH C is not in range with both the nodes, it createsits own optimal path to the BS. Now CH B chooses the best relay node between node 5 andnode 6 based on the link_cost_factor. Here, node 6 is chosen as the optimal relay node forCH A and B. Therefore, two separate optimal routes using the link_cost_factor are createdfrom the CHs, if no common relay node is identified.node. By doing this step, only nodes that are closer to the BS arefiltered out as candidate RNs, thereby avoiding longer routes.3. A list containing candidate RNs is sent to the next CH (or relaynode). The CH, in turn, checks whether it is in range with any ofthe nodes in the list or not. The CH sends a HELLO packet toeach of the nodes in the list, and if it receives a response packetfrom any of the nodes, then those nodes are considered to be inrange with the CH.CH1HELLOHELLOCH1RESPONSERESPONSECH1CH1CH2CH2HELLOCH2CH2RELAYINVITECH1 sends HELLOpackets to all nodesin rangePotential relay nodes andback RESPONSE packetsCH with list of potential nodes ID, energy available, delay and distance to BSNode that receive HELLO message from CHCH1 sends HELLOpacket with updatedinformation to CH2CH2 checks if itis in range withpotential relay nodesFIGURE 8.21Steps to route information to the BS.
392 Wireless Ad Hoc and Sensor Networks5813161912192346107 11171420 1815BSFIGURE 8.22Relay node selection.4. If it is in range with any of the candidate RNs, then it becomes apart of the new list of candidate RNs. The same procedure iscarried out for all the CHs in the network.5. Finally, if only one node is identified as the candidate relay nodein the list, then that node is assigned as the relay node.6. On the other hand, if more than one node is identified as a candidaterelay node, then the link_cost_ factor is calculated, and thenode with the highest link_cost_ factor is selected as the relay node.7. The link_cost_ factor for each of the nodes is calculated, and thenode with the maximum link_cost_ factor is selected as the optimalrelay node.Example 8.8.1: Relay-Node SelectionConsider the topology shown in Figure 8.22. The link_cost_factors arecalculated to route data to the BS. The following steps are implementedto route data using the OEDSR protocol and the flowchart is depicted inFigure 8.23.1. Start with an empty relay list for source node n: Relay(n)={ }. Herenode n 4 and n 7 are CHs.2. First, for CH n 4 , check which nodes it is in range with. In thiscase, CH n 4 is in range with nodes n 1 , n 2 , n 3 , n 5 , n 8 , n 9 , n 12 , and n 10 .3. The nodes n 1, n 2, and n 3 are not considered as potential candidateRNs because the distance from them to the BS is greater than thedistance from CH n 4 to the BS.
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18. Chaos in Automatic Control, edi
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CRC PressTaylor & Francis Group6000
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Table of Contents1 Background on Ne
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3 Congestion Control in ATM Network
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5.4.2 Distributed Power Controller
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7.3 Adaptive and Distributed Fair S
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9.2.2 Overview.....................
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the number of connections in each l
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y Maheswaran Thiagarajan, and tirel
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2 Wireless Ad Hoc and Sensor Networ
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10 Wireless Ad Hoc and Sensor Netwo
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2BackgroundIn this chapter, we prov
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Background 51u(k)x n (k + 1)x n (k)
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Background 53with x( 0)being the in
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Background 55with tr(.) the matrix
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Background 57nGiven a function ft (
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Background 592.3.2 Lyapunov Stabili
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Background 61as well as Jagannathan
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Background 63The subsequent example
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Background 65Evaluating this along
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Background 67Now, select the feedba
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Background 69is SISL if and only if
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Background 71L 1 (x)L(x, t)L 0 (x)0
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Background 73for some R > 0 such th
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Background 75Evaluating the first d
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Background 77Section 2.4Problem 2.4
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100 Wireless Ad Hoc and Sensor Netw
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4Admission Controller Design for Hi
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Admission Controller Design for Hig
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7Distributed Fair Scheduling in Wir
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Distributed Fair Scheduling in Wire
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Predictive Congestion Control for W
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10Adaptive and Probabilistic Power
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Adaptive and Probabilistic Power Co
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